* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’
* installing *source* package ‘mas’ ...
** package ‘mas’ successfully unpacked and MD5 sums checked
** using staged installation
** libs
using C++ compiler: ‘g++-14 (Debian 14.2.0-8) 14.2.0’
make[1]: Entering directory '/tmp/RtmpchxZIK/R.INSTALL23b4c45026cbf0/mas/src'
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c GWAS.cpp -o GWAS.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from GWAS.cpp:3:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, -1, -1>’
178 | class Matrix
| ^~~~~~
GWAS.cpp:10:42: required from here
10 | int cores = 1, bool verb = true){
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, -1, -1>’
178 | class Matrix
| ^~~~~~
GWAS.cpp:10:42: required from here
10 | int cores = 1, bool verb = true){
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, -1, 1>’
178 | class Matrix
| ^~~~~~
GWAS.cpp:29:19: required from here
29 | Eigen::VectorXf n = Z.colwise().sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
GWAS.cpp:29:38: required from here
29 | Eigen::VectorXf n = Z.colwise().sum();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:30:31: required from here
30 | Eigen::VectorXf iN = n.array().inverse();
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:30:41: required from here
30 | Eigen::VectorXf iN = n.array().inverse();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GWAS.cpp:36:34: required from here
36 | for(int j=0; j<f; j++){WM.col(j)=M.col(j).array()*Z.col(i).array();}
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:36:52: required from here
36 | for(int j=0; j<f; j++){WM.col(j)=M.col(j).array()*Z.col(i).array();}
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:36:70: required from here
36 | for(int j=0; j<f; j++){WM.col(j)=M.col(j).array()*Z.col(i).array();}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<float, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:37:24: required from here
37 | iMM = (WM.transpose()*WM).inverse();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:37:27: required from here
37 | iMM = (WM.transpose()*WM).inverse();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Dense>’
68 | class InverseImpl
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0> >’
43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
| ^~~~~~~
GWAS.cpp:37:38: required from here
37 | iMM = (WM.transpose()*WM).inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:38:36: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:39:37: required from here
39 | y.col(i) = (Y.col(i)-WM*MU.col(i) ).array()*Z.col(i).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:39:37: required from here
39 | y.col(i) = (Y.col(i)-WM*MU.col(i) ).array()*Z.col(i).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:39:46: required from here
39 | y.col(i) = (Y.col(i)-WM*MU.col(i) ).array()*Z.col(i).array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:39:64: required from here
39 | y.col(i) = (Y.col(i)-WM*MU.col(i) ).array()*Z.col(i).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:45:85: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:45:85: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:45:93: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Array<float, -1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Array<float, -1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Array<float, -1, 1> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Array<float, -1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array<float, -1, 1>’
45 | class Array
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:106:24: required from ‘class Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> >’
106 | typedef Ref<ArrayXr> ArrayRef;
| ^~~~~~~~
GWAS.cpp:49:38: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GWAS.cpp:52:45: required from here
52 | Eigen::MatrixXf V = svd.matrixV().leftCols(npc);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<float, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<const Eigen::Matrix<float, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
GWAS.cpp:53:48: required from here
53 | Eigen::VectorXf D = svd.singularValues().head(npc);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
GWAS.cpp:54:70: required from here
54 | Eigen::MatrixXf X = (svd.matrixU().leftCols(npc) * D.array().matrix().asDiagonal());
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:54:84: required from here
54 | Eigen::MatrixXf X = (svd.matrixU().leftCols(npc) * D.array().matrix().asDiagonal());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
GWAS.cpp:60:33: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:60:62: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
GWAS.cpp:60:71: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:60:83: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:61:49: required from here
61 | Eigen::VectorXf MSX = XX.colwise().sum().array(); MSX=MSX.array()*iN.array();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:61:78: required from here
61 | Eigen::VectorXf MSX = XX.colwise().sum().array(); MSX=MSX.array()*iN.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:63:19: required from here
63 | iN = (n.array()-f).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:63:19: required from here
63 | iN = (n.array()-f).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:63:29: required from here
63 | iN = (n.array()-f).inverse();
| ~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
43 | typedef typename MatrixType::Scalar InputScalar;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
GWAS.cpp:64:47: required from here
64 | Eigen::VectorXf vy = y.colwise().squaredNorm(); vy=vy.array()*iN.array();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
GWAS.cpp:64:47: required from here
64 | Eigen::VectorXf vy = y.colwise().squaredNorm(); vy=vy.array()*iN.array();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:65:29: required from here
65 | Eigen::VectorXf ve = vy * 0.5;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:65:29: required from here
65 | Eigen::VectorXf ve = vy * 0.5;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:68:30: required from here
68 | vb = (ve.array()/MSX.array()).matrix().asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
GWAS.cpp:68:39: required from here
68 | vb = (ve.array()/MSX.array()).matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl<Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
68 | class InverseImpl
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse<Eigen::Matrix<float, -1, -1> >’
43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
| ^~~~~~~
GWAS.cpp:69:34: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:70:48: required from here
70 | Eigen::VectorXf h2 = 1 - ve.array()/vy.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
GWAS.cpp:78:44: required from here
78 | Eigen::MatrixXf b = Eigen::MatrixXf::Zero(p,k);
| ~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:80:34: required from here
80 | Eigen::MatrixXf e(n0,k); e = y*1.0;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:80:34: required from here
80 | Eigen::MatrixXf e(n0,k); e = y*1.0;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, -1, -1> >’
92 | >::type DiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, -1, -1> >’
111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
| ^~~~~~~~~~~~~~~
GWAS.cpp:84:58: required from here
84 | Eigen::SelfAdjointEigenSolver<Eigen::MatrixXf> EVDofA(A);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization<Eigen::Matrix<float, -1, -1> >’
97 | >::type SubDiagonalReturnType;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<float, -1, -1> >’
111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
| ^~~~~~~~~~~~~~~
GWAS.cpp:84:58: required from here
84 | Eigen::SelfAdjointEigenSolver<Eigen::MatrixXf> EVDofA(A);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:95:36: required from here
95 | Eigen::VectorXf iNp = (n.array()+df0-f).inverse();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:95:40: required from here
95 | Eigen::VectorXf iNp = (n.array()+df0-f).inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:95:50: required from here
95 | Eigen::VectorXf iNp = (n.array()+df0-f).inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:119:21: required from here
119 | b0 = b.row(J)*1.0;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:119:21: required from here
119 | b0 = b.row(J)*1.0;
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
GWAS.cpp:120:30: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:120:56: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:120:64: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:120:79: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
GWAS.cpp:120:88: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:121:32: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:121:35: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:121:43: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:121:63: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Matrix<float, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:121:78: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:121:86: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:123:43: required from here
123 | if(k==1){ b1 = RHS.array()/LHS.array(); }else{
| ~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:123:44: required from here
123 | if(k==1){ b1 = RHS.array()/LHS.array(); }else{
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
GWAS.cpp:124:71: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:127:28: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
GWAS.cpp:127:41: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:127:42: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:127:57: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:127:59: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:131:25: required from here
131 | ve = (e.cwiseProduct(y)).colwise().sum();
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
GWAS.cpp:131:43: required from here
131 | ve = (e.cwiseProduct(y)).colwise().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:133:31: required from here
133 | ve = (ve.array()+Se.array()) * iNp.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:133:46: required from here
133 | ve = (ve.array()+Se.array()) * iNp.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:139:44: required from here
139 | Dinv.col(i) = (XX.col(i).array()/ve(i) + iG(i,i)).inverse().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:139:54: required from here
139 | Dinv.col(i) = (XX.col(i).array()/ve(i) + iG(i,i)).inverse().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:139:64: required from here
139 | Dinv.col(i) = (XX.col(i).array()/ve(i) + iG(i,i)).inverse().array();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:140:57: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:140:57: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:160:25: required from here
160 | A.diagonal().array() += inflate;}
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:164:40: required from here
164 | cnv = log10((beta0.array()-b.array()).square().sum());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:164:49: required from here
164 | cnv = log10((beta0.array()-b.array()).square().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:166:47: required from here
166 | CNV2(numit) = log10((h20.array()-h2.array()).square().sum());
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:166:56: required from here
166 | CNV2(numit) = log10((h20.array()-h2.array()).square().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:180:67: required from here
180 | for(int i=0; i<k; i++){ hat.col(i) = ( M * MU.col(i) + hat.col(i)).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:180:75: required from here
180 | for(int i=0; i<k; i++){ hat.col(i) = ( M * MU.col(i) + hat.col(i)).array(); }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
GWAS.cpp:234:34: required from here
234 | iC = 1.0 / ( D.array().square() + (ve(trait)/vb(trait,trait)) ).array();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:234:65: required from here
234 | iC = 1.0 / ( D.array().square() + (ve(trait)/vb(trait,trait)) ).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:234:75: required from here
234 | iC = 1.0 / ( D.array().square() + (ve(trait)/vb(trait,trait)) ).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:246:66: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:247:45: required from here
247 | PZM.col(i) = ZM.col(i).array() - (X*tmpCoef).array();}
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
GWAS.cpp:247:59: required from here
247 | PZM.col(i) = ZM.col(i).array() - (X*tmpCoef).array();}
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:247:60: required from here
247 | PZM.col(i) = ZM.col(i).array() - (X*tmpCoef).array();}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:252:41: required from here
252 | ZPy = ZM.transpose() * e.col(trait);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:257:75: required from here
257 | yZg = (y.col(trait).array()-(ZM*gamma).array())* Z.col(trait).array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:259:31: required from here
259 | VarE = (yZg.transpose()*PyZg);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:261:34: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
GWAS.cpp:261:40: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:280:70: required from here
280 | PopWald.row(J) = gamma.array().square() * ZPZ.diagonal().array()/VarE;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:280:72: required from here
280 | PopWald.row(J) = gamma.array().square() * ZPZ.diagonal().array()/VarE;}
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
GWAS.cpp:350:46: required from here
350 | vb = (ve.array()/ (TrZSZ.array()*iN.array()) ).matrix().asDiagonal();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
GWAS.cpp:350:57: required from here
350 | vb = (ve.array()/ (TrZSZ.array()*iN.array()) ).matrix().asDiagonal();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
GWAS.cpp:394:27: required from here
394 | b1 = LHS.llt().solve(RHS);
| ~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, 1, 0, 1, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, 1, 0, 1, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, 1, 0, 1, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 1, 1, 0, 1, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 1, 1, 0, 1, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 1, 1, 0, 1, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from ‘struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<float, 1, 1, 0, 1, 1> > >’
167 | typedef typename PlainObjectType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator<Eigen::Matrix<float, 1, 1, 0, 1, 1> >’
273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, float, float>’
96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
29 | struct evaluator<Product<Lhs, Rhs, Options> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:140:45: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
453 | RealScalar scale = mat.cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~^~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase<Derived>::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; Scalar = float]’
27 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:160:31: required from here
160 | A.diagonal().array() += inflate;}
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:440:19: required from ‘class Eigen::ColPivHouseholderQR<Eigen::Matrix<float, -1, -1> >’
440 | RowVectorType m_temp;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:246:10: required from ‘struct Eigen::internal::qr_preconditioner_impl<Eigen::Matrix<float, -1, -1>, 2, 0, true>’
246 | QRType m_qr;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:609:110: required from ‘class Eigen::JacobiSVD<Eigen::Matrix<float, -1, -1>, 2>’
609 | internal::qr_preconditioner_impl<MatrixType, QRPreconditioner, internal::PreconditionIfMoreColsThanRows> m_qr_precond_morecols;
| ^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:43: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
281 | if (m_isTranspose) copy = matrix.adjoint()/scale;
| ~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > > >’
38 | >::type Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
281 | if (m_isTranspose) copy = matrix.adjoint()/scale;
| ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
281 | if (m_isTranspose) copy = matrix.adjoint()/scale;
| ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:282:35: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
282 | else copy = matrix/scale;
| ~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 2, -1, 1, 2, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 2, -1, 1, 2, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 2, -1, 1, 2, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 2, -1, 1, 2, -1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:230:22: required from ‘class Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>’
230 | CoefficientsType m_coeffs;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:86:20: required from ‘class Eigen::internal::UpperBidiagonalization<Eigen::Matrix<float, -1, -1> >’
86 | BidiagonalType m_bidiagonal;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:21: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<float, -1, 1>, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Matrix<float, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:308:28: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
308 | m_singularValues.tail(m_diagSize - i - 1).setZero();
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:141:7: required from ‘class Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>’
141 | > ConjugateReturnType;
| ^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:44: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase<Derived>::operator*=(const Scalar&) [with Derived = Eigen::Matrix<float, -1, 1>; Scalar = float]’
20 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::mul_assign_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:463:14: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
463 | m_eivalues *= scale;
| ~~~~~~~~~~~^~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:30: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
437 | m_naiveU.row(0).segment(firstCol, n + 1).real() = b.matrixU().row(0);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:437:72: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
437 | m_naiveU.row(0).segment(firstCol, n + 1).real() = b.matrixU().row(0);
| ~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:442:34: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
442 | m_computed.diagonal().segment(firstCol + shift, n) = b.singularValues().head(n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:497:52: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
497 | MatrixXr q1 (m_naiveU.col(firstCol + k).segment(firstCol, k + 1));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:506:122: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
506 | m_naiveU.col(firstCol).segment(firstCol + k + 1, n - k) = m_naiveU.col(lastCol + 1).segment(firstCol + k + 1, n - k) * s0;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:78: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
535 | m_computed.col(firstCol + shift).segment(firstCol + shift + 1, k) = alphaK * l.transpose().real();
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 2, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 2, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 2, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> > >’
32 | enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:111:75: required from ‘class Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >’
111 | int Level = internal::accessors_level<Derived>::has_write_access ? WriteAccessors : ReadOnlyAccessors
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
569 | Map<Matrix<RealScalar,2,Dynamic>,Aligned> tmp(m_workspace.data(),2,n+1);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:569:47: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
569 | Map<Matrix<RealScalar,2,Dynamic>,Aligned> tmp(m_workspace.data(),2,n+1);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<Eigen::Matrix<float, -1, -1>, -1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:40: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:56: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:583:70: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
583 | m_computed.block(firstCol + shift, firstCol + shift, n, n).diagonal() = singVals;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:338:34: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
338 | m_matrixU = MatrixX::Identity(householderU.cols(), Ucols);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38: required from ‘struct Eigen::internal::cast_return_type<Eigen::Matrix<float, -1, -1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<float, float>, const Eigen::Matrix<float, -1, -1> > >’
513 | typedef typename _CastType::Scalar NewScalarType;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<float>’
48 | template<class NewType> struct CastXpr { typedef typename internal::cast_return_type<Derived,const CwiseUnaryOp<internal::scalar_cast_op<Scalar, NewType>, const Derived> >::type Type; };
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template<class NewType> typename Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >::cast() const [with NewType = float]’
62 | cast() const
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:83: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
339 | m_matrixU.topLeftCorner(m_diagSize, m_diagSize) = naiveV.template cast<Scalar>().topLeftCorner(m_diagSize, m_diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Matrix<float, -1, -1>, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:99: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
339 | m_matrixU.topLeftCorner(m_diagSize, m_diagSize) = naiveV.template cast<Scalar>().topLeftCorner(m_diagSize, m_diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, -1>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
451 | subdiag = mat.template diagonal<-1>().real();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:894:57: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = float; Scalar = float; Index = long int]’
894 | Map<Matrix<Scalar,Dynamic,Dynamic,StorageOrder> > q(matrixQ,n,n);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagType = Eigen::Matrix<float, -1, 1>; SubDiagType = Eigen::Matrix<float, -1, 1>; Eigen::Index = long int]’
548 | internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1, 6>’
126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>, 0> >’
1626 | typedef typename XprType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:697:60: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
697 | m_workMatrix = matrix.block(0,0,m_diagSize,m_diagSize) / scale;
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:705:61: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
705 | RealScalar maxDiagEntry = m_workMatrix.cwiseAbs().diagonal().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:765:62: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
765 | if(computeU() && (a<RealScalar(0))) m_matrixU.col(i) = -m_matrixU.col(i);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:32: required from ‘void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<float, -1, -1>; Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>]’
138 | dst.diagonal() = diagonal();
| ~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<float, -1, -1>]’
148 | evalTo(res);
| ~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:21: required from ‘void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<float, -1, -1>; Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>]’
140 | dst.diagonal(i) = diagonal(i);
| ~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<float, -1, -1>]’
148 | evalTo(res);
| ~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 1, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:293:46: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
293 | m_computed.template bottomRows<1>().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1186:29: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1186 | Block<MatrixXr,Dynamic,1> col0(m_computed, firstCol+shift, firstCol+shift, length, 1);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:33: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1191 | RealScalar maxDiag = diag.tail((std::max)(Index(1),length-1)).cwiseAbs().maxCoeff();
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:73: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1191 | RealScalar maxDiag = diag.tail((std::max)(Index(1),length-1)).cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:117: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1193 | RealScalar epsilon_coarse = Literal(8) * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(col0.cwiseAbs().maxCoeff(), maxDiag);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:38: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1246 | bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
| ~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:54: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1246 | bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:281:76: required from ‘class Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >’
281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
599 | ArrayRef col0 = m_computed.col(firstCol).segment(firstCol, n);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:277:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
599 | ArrayRef col0 = m_computed.col(firstCol).segment(firstCol, n);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:599:12: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
599 | ArrayRef col0 = m_computed.col(firstCol).segment(firstCol, n);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false> >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Array<float, -1, 1>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:600:19: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
600 | m_workspace.head(n) = m_computed.block(firstCol, firstCol, n, n).diagonal();
| ~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Array<float, -1, 1>, -1, 1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:601:12: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
601 | ArrayRef diag = m_workspace.head(n);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:625:16: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
625 | Map<ArrayXr> shifts(m_workspace.data()+1*n, n);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:17: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
375 | if( (A.col(j).head(n1).array()!=Literal(0)).any() )
| ~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1>’
56 | template<typename VectorType, int Size> class VectorBlock
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:25: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
375 | if( (A.col(j).head(n1).array()!=Literal(0)).any() )
| ~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:35: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
375 | if( (A.col(j).head(n1).array()!=Literal(0)).any() )
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:377:15: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
377 | A1.col(k1) = A.col(j).head(n1);
| ~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:15: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
378 | B1.row(k1) = B.row(j);
| ~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:14: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:45: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:62: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:50: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:394:27: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
394 | Map<MatrixXr,Aligned> tmp(m_workspace.data(),n,n);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:22: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:140:45: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:140:45: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, -1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:164:55: required from here
164 | cnv = log10((beta0.array()-b.array()).square().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:166:62: required from here
166 | CNV2(numit) = log10((h20.array()-h2.array()).square().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<float, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:259:30: required from here
259 | VarE = (yZg.transpose()*PyZg);
| ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<float, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:259:30: required from here
259 | VarE = (yZg.transpose()*PyZg);
| ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:231:121: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
231 | svd.m_workMatrix = m_qr.matrixQR().block(0,0,matrix.rows(),matrix.rows()).template triangularView<Upper>().adjoint();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 2, 2>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 2, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 2, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:25:26: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long int]’
25 | Matrix<RealScalar,2,2> m;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1, 1, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:281:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
281 | if (m_isTranspose) copy = matrix.adjoint()/scale;
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:81: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:74: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1246 | bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase<Derived>::all() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_LT>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >]’
84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1246:74: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1246 | bool total_deflation = (col0.tail(length-1).array()<considerZero).all();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:46: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>]’
768 | right = (diag(actual_n-1) + col0.matrix().norm());
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
636 | computeSingVals(col0, diag, perm, singVals, shifts, mus);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Array<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:804:24: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>]’
804 | diagShifted = diag - shift;
| ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
636 | computeSingVals(col0, diag, perm, singVals, shifts, mus);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1076:34: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>; MatrixXr = Eigen::Matrix<float, -1, -1>]’
1076 | U.col(k) = VectorType::Unit(n+1, k);
| ~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
669 | computeSingVecs(zhat, diag, perm, singVals, shifts, mus, U, V);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:146:13: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
146 | leftCols(half).swap(rightCols(half).reverse());
| ~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>’
63 | template<typename MatrixType, int Direction> class Reverse
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
146 | leftCols(half).swap(rightCols(half).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:361:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:146:48: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
146 | leftCols(half).swap(rightCols(half).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >::PacketScalar’ {aka ‘__m128’} [-Wignored-attributes]
85 | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:10: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:21: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>’
63 | template<typename MatrixType, int Direction> class Reverse
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:63: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128’} [-Wignored-attributes]
85 | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:156:12: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
156 | topRows(half).swap(bottomRows(half).reverse());
| ~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
63 | template<typename MatrixType, int Direction> class Reverse
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
156 | topRows(half).swap(bottomRows(half).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:156:48: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
156 | topRows(half).swap(bottomRows(half).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128’} [-Wignored-attributes]
85 | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:10: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:21: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>’
63 | template<typename MatrixType, int Direction> class Reverse
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:63: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >::PacketScalar’ {aka ‘__m128’} [-Wignored-attributes]
85 | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >]’
108 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
375 | if( (A.col(j).head(n1).array()!=Literal(0)).any() )
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:108:50: required from ‘bool Eigen::DenseBase<Derived>::any() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<float, float, Eigen::internal::cmp_NEQ>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Array<float, -1, 1> > >]’
108 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:375:54: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
375 | if( (A.col(j).head(n1).array()!=Literal(0)).any() )
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:390:110: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
390 | typename internal::conditional<Side==OnTheRight, Transpose<SubVectorsType>, SubVectorsType&>::type sub_vecs(sub_vecs1);
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:82: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:55: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
1384 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, float>’
1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; SrcXprType = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Functor = add_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; SrcXprType = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, const Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >; Derived = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:120:89: required from here
120 | LHS = iG; LHS.diagonal() += (XX.row(J).transpose().array() * iVe.array()).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
45 | VectorBlock<Derived, internal::decrement_size<Base::SizeAtCompileTime>::ret> essentialPart(derived(), 1, size()-1);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = float]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’
315 | internal::apply_rotation_in_the_plane(x, y, j.transpose());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = float; Scalar = float; Index = long int]’
895 | q.applyOnTheRight(k,k+1,rot);
| ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagType = Eigen::Matrix<float, -1, 1>; SubDiagType = Eigen::Matrix<float, -1, 1>; Eigen::Index = long int]’
548 | internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
323 | this->visit(minVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
496 | return minCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagType = Eigen::Matrix<float, -1, 1>; SubDiagType = Eigen::Matrix<float, -1, 1>; Eigen::Index = long int]’
563 | diag.segment(i,n-i).minCoeff(&k);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, -1, 1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, -1, 1>; Func = Eigen::internal::scalar_min_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, -1, 1> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op<float, float, 0>; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]’
433 | return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Matrix<float, -1, 1>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return minCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:157:43: required from here
157 | MinDVb = EVDofA.eigenvalues().minCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>, 1>’
223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<Eigen::Matrix<float, 2, 2>, 1, 2, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; Func = Eigen::internal::scalar_max_op<float, float, 1>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 1>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 1; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = float]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:272:71: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
272 | RealScalar scale = matrix.cwiseAbs().template maxCoeff<PropagateNaN>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7: required from ‘Eigen::MapBase<Derived, 1>::ScalarWithConstIfNotLvalue& Eigen::MapBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; ScalarWithConstIfNotLvalue = float; Eigen::Index = long int]’
15 | EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:339:92: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:181:16: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
181 | SubMatType X_k1( X.block(k,0, remainingRows,k) );
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:182:16: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
182 | SubMatType V_k1( A.block(k,0, remainingRows,k) );
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
203 | SubColumnType y_k( Y.col(k).tail(remainingCols) );
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:203:23: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
203 | SubColumnType y_k( Y.col(k).tail(remainingCols) );
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
216 | SubRowType u_k( A.row(k).tail(remainingCols) );
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >::match<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >’
44 | DerivedAlignment = int(evaluator<Derived>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Ref.h:288:101: required by substitution of ‘template<class Derived> Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>]’
288 | typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:216:18: required from ‘void Eigen::internal::upperbidiagonalization_blocked_helper(MatrixType&, typename MatrixType::RealScalar*, typename MatrixType::RealScalar*, Eigen::Index, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >, Eigen::Ref<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)> >) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename MatrixType::RealScalar = float; Eigen::Index = long int; typename MatrixType::Scalar = float; typename conditional<Eigen::Matrix<typename MatrixType::Scalar, -1, -1, (traits<T>::Flags & Eigen::RowMajorBit)>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type = Eigen::OuterStride<>]’
216 | SubRowType u_k( A.row(k).tail(remainingCols) );
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::coeffRef(Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>; Scalar = float; Eigen::Index = long int]’
391 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>; Scalar = float; Eigen::Index = long int]’
428 | return coeffRef(index);
| ~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1206:11: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1206 | if (diag(0) < epsilon_coarse)
| ~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
39 | template<typename Derived> class ArrayBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:428:22: required from ‘Eigen::DenseCoeffsBase<Derived, 1>::Scalar& Eigen::DenseCoeffsBase<Derived, 1>::operator()(Eigen::Index) [with Derived = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = float; Eigen::Index = long int]’
428 | return coeffRef(index);
| ~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:602:7: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
602 | diag(0) = Literal(0);
| ~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int Direction = 1]’
212 | internal::vectorwise_reverse_inplace_impl<Direction>::run(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
711 | U.leftCols(actual_n).rowwise().reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:63:52: required from ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>’
63 | template<typename MatrixType, int Direction> class Reverse
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75: required from ‘static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>]’
192 | .swap(xpr.rightCols(fix<HalfAtCompileTime>(half)).rowwise().reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int Direction = 1]’
212 | internal::vectorwise_reverse_inplace_impl<Direction>::run(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
711 | U.leftCols(actual_n).rowwise().reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h: In instantiation of ‘class Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:192:75: required from ‘static void Eigen::internal::vectorwise_reverse_inplace_impl<1>::run(ExpressionType&) [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>]’
192 | .swap(xpr.rightCols(fix<HalfAtCompileTime>(half)).rowwise().reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int Direction = 1]’
212 | internal::vectorwise_reverse_inplace_impl<Direction>::run(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
711 | U.leftCols(actual_n).rowwise().reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:85:71: warning: ignoring attributes on template argument ‘Eigen::MatrixBase<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >::PacketScalar’ {aka ‘__m128’} [-Wignored-attributes]
85 | typedef internal::reverse_packet_cond<PacketScalar,ReversePacket> reverse_packet;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 5>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]’
131 | this->row(0) -= tau * tmp;
| ~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase<Derived>::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Scalar = float]’
132 | bottom.noalias() -= tau * essential * tmp;
| ~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:52:49: required from here
52 | Eigen::MatrixXf V = svd.matrixV().leftCols(npc);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<float, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<float, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<float, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:53:52: required from here
53 | Eigen::VectorXf D = svd.singularValues().head(npc);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::SolverStorage>’
68 | class InverseImpl
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> > >’
43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; ResultType = Eigen::Matrix<float, -1, -1>; int Size = -1]’
28 | result = matrix.partialPivLu().inverse();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType, 1>::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = float; Index = long int; UType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; VType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase<Derived>&, Eigen::DenseBase<Derived>&, const Eigen::JacobiRotation<OtherScalar>&) [with VectorX = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; VectorY = Eigen::Block<Eigen::Matrix<float, 2, 2>, 1, 2, false>; OtherScalar = float]’
475 | EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:299:40: required from ‘void Eigen::MatrixBase<Derived>::applyOnTheLeft(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation<OtherScalar>&) [with OtherScalar = float; Derived = Eigen::Matrix<float, 2, 2>; Eigen::Index = long int]’
299 | internal::apply_rotation_in_the_plane(x, y, j);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/misc/RealSvd2x2.h:46:19: required from ‘void Eigen::internal::real_2x2_jacobi_svd(const MatrixType&, Index, Index, Eigen::JacobiRotation<RealScalar>*, Eigen::JacobiRotation<RealScalar>*) [with MatrixType = Eigen::Matrix<float, -1, -1>; RealScalar = float; Index = long int]’
46 | m.applyOnTheLeft(0,1,rot1);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:730:42: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
730 | internal::real_2x2_jacobi_svd(m_workMatrix, p, q, &j_left, &j_right);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> > >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:535:69: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
535 | m_computed.col(firstCol + shift).segment(firstCol + shift + 1, k) = alphaK * l.transpose().real();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1191:84: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1191 | RealScalar maxDiag = diag.tail((std::max)(Index(1),length-1)).cwiseAbs().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>]’
768 | right = (diag(actual_n-1) + col0.matrix().norm());
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
636 | computeSingVals(col0, diag, perm, singVals, shifts, mus);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>; MatrixXr = Eigen::Matrix<float, -1, -1>]’
1088 | U.col(k).normalize();
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
669 | computeSingVecs(zhat, diag, perm, singVals, shifts, mus, U, V);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 5>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/SVDBase.h:315:54: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, Eigen::Matrix<float, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/SVDBase.h:315:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47: required from ‘struct Eigen::internal::traits<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > > >’
278 | typedef typename DiagonalVectorType::Scalar Scalar;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<float>, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, false> > >, Eigen::Matrix<float, -1, 1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/SVDBase.h:316:62: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, 1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/SVDBase.h:317:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, 1, -1>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, 1>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:38: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>; Scalar = float; RealScalar = float]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = float; RealScalar = float]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >; Scalar = float; RealScalar = float]’
93 | essential = tail / (c0 - beta);
| ~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Derived = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:22: required from ‘void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<float, -1, -1>; Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>]’
138 | dst.diagonal() = diagonal();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<float, -1, -1>]’
148 | evalTo(res);
| ~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Derived = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 16777215>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:140:25: required from ‘void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<float, -1, -1>; Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>]’
140 | dst.diagonal(i) = diagonal(i);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<float, -1, -1>]’
148 | evalTo(res);
| ~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:140:45: required from here
140 | TrDinvXX(i) = (XX.col(i).transpose() * Dinv.col(i));}
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:330:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<float, float, false, false, 1, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
217 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<float, float, false, false, 1, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel<float, float, long int, Eigen::internal::blas_data_mapper<float, long int, 0, 0, 1>, 8, 4, false, false>’
1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
231 | gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<float, float, false, false, 1, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel<float, float, long int, Eigen::internal::blas_data_mapper<float, long int, 0, 0, 1>, 8, 4, false, false>’
1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
231 | gebp_kernel<Scalar, Scalar, Index, LhsMapper, Traits::mr, Traits::nr, false, Conjugate> gebp_kernel;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
384 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
460 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
461 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
462 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
465 | typedef QuadPacket<RhsPacket> RhsPacketx4;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::const_blas_data_mapper<float, long int, 1>, 4, 1, false, false>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
232 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs<float, long int, Eigen::internal::const_blas_data_mapper<float, long int, 1>, 4, 1, false, true>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
233 | gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2504 | typedef typename unpacket_traits<Packet>::half HalfPacket;
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2505 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2508 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2509 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> > >, const Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 6>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, 1, 1, 0, 1, 1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>]’
251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, Option>, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Matrix<float, -1, 1>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
124 | generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator<Eigen::Product<Lhs, Rhs, Option> >::evaluator(const XprType&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, 1>, 0>]’
35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Option = 0; Scalar = float]’
137 | return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:259:30: required from here
259 | VarE = (yZg.transpose()*PyZg);
| ~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >; Lhs = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>]’
178 | generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >; Src = Eigen::Product<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, 0>; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1193:128: required from ‘void Eigen::BDCSVD<MatrixType>::deflation(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
1193 | RealScalar epsilon_coarse = Literal(8) * NumTraits<RealScalar>::epsilon() * numext::maxi<RealScalar>(col0.cwiseAbs().maxCoeff(), maxDiag);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:542:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
542 | deflation(firstCol, lastCol, k, firstRowW, firstColW, shift);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Matrix<float, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 2, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 2, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 2, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 2, -1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:339:53: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
339 | m_matrixU.topLeftCorner(m_diagSize, m_diagSize) = naiveV.template cast<Scalar>().topLeftCorner(m_diagSize, m_diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false>; CoeffReturnType = float; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1, 1, false>; CoeffReturnType = float; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; VectorsType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = float; Eigen::Index = long int]’
142 | EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1, 1, false>; CoeffReturnType = float; Eigen::Index = long int]’
182 | return coeff(index);
| ~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<float, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1>]’
63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
| ~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, -1>]’
92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:64:48: required from here
64 | Eigen::VectorXf vy = y.colwise().squaredNorm(); vy=vy.array()*iN.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:333:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<float, float, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, float, Eigen::internal::const_blas_data_mapper<float, long int, 1>, 1, false, float, Eigen::internal::const_blas_data_mapper<float, long int, 0>, false, 0>’
306 | typedef typename Traits::LhsPacket LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<float, float, 1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, float, Eigen::internal::const_blas_data_mapper<float, long int, 1>, 1, false, float, Eigen::internal::const_blas_data_mapper<float, long int, 0>, false, 0>’
310 | typedef typename HalfTraits::LhsPacket LhsPacketHalf;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<float, float, 2>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product<long int, float, Eigen::internal::const_blas_data_mapper<float, long int, 1>, 1, false, float, Eigen::internal::const_blas_data_mapper<float, long int, 0>, false, 0>’
314 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]’
346 | general_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
347 | <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
348 | actualLhs.rows(), actualLhs.cols(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | LhsMapper(actualLhs.data(), actualLhs.outerStride()),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | RhsMapper(actualRhsPtr, 1),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~
351 | dest.data(), dest.col(0).innerStride(), //NOTE if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
42 | prefix ## name ## Packet
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
52 | unpacket_traits<_RhsPacket>::vectorizable &&
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
59 | typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
60 | typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
61 | typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::internal::lpNorm_selector<Derived, 1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
221 | return m.cwiseAbs().sum();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = 1; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
269 | return internal::lpNorm_selector<Derived, p>::run(*this);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
448 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<float, long int, 0, 0, 1>; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
289 | gebp_kernel(lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
290 | blockA, blockB+j2*actual_kc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
291 | actual_mc, panelLength, actualPanelWidth,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
292 | Scalar(-1),
| ~~~~~~~~~~~
293 | actual_kc, actual_kc, // strides
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
294 | panelOffset, panelOffset); // offsets
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1920 | const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1921 | const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1977 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1978 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1979 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
1980 | typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<float, long int, 0, 0, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’
319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
320 | actualPanelWidth, actual_mc,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
321 | actual_kc, j2);
| ~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
364 | if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long int, 0>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]’
106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector<MatrixType, OtherType, UpLo, false>::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = float]’
109 | internal::general_matrix_matrix_triangular_product<Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
110 | Scalar, OtherIsRowMajor ? RowMajor : ColMajor, OtherBlasTraits::NeedToConjugate && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
111 | Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
112 | IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
113 | ::run(size, depth,
| ~~~~~^~~~~~~~~~~~~
114 | actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
115 | mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
126 | selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2100 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2102 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2103 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 64>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 8, 8, 0, 8, 8>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel<LhsScalar, RhsScalar, Index, mr, nr, ConjLhs, ConjRhs, ResInnerStride, UpLo>::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = float]’
155 | Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, UpLo, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = float]’
116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
| ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 8, 8, 0, 8, 8>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Dest::Scalar = float]’
296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
| ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false> >’
79 | CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>]’
123 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
374 | this->visit(maxVisitor);
| ~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block<Eigen::Matrix<float, 1, -1>, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = float]’
501 | return maxCoeff<PropagateFast>(index);
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:129:19: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; SrcXprType = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0> >; SrcXprType = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>; Src = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, 2, -1, 1, 2, -1>, 1, -1, false>; Derived = Eigen::Diagonal<Eigen::Matrix<float, -1, -1>, 0>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:138:22: required from ‘void Eigen::internal::BandMatrixBase<Derived>::evalTo(Dest&) const [with Dest = Eigen::Matrix<float, -1, -1>; Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>]’
138 | dst.diagonal() = diagonal();
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/BandMatrix.h:148:13: required from ‘Eigen::internal::BandMatrixBase<Derived>::DenseMatrixType Eigen::internal::BandMatrixBase<Derived>::toDenseMatrix() const [with Derived = Eigen::internal::BandMatrix<float, -1, -1, 1, 0, 1>; DenseMatrixType = Eigen::Matrix<float, -1, -1>]’
148 | evalTo(res);
| ~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:292:66: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
292 | m_computed.topRows(m_diagSize) = bid.bidiagonal().toDenseMatrix().transpose();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, -1, true>, 2>; Func = swap_assign_op<float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:146:24: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
146 | leftCols(half).swap(rightCols(half).reverse());
| ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, true>, -1, 1, false>, 2>; Func = swap_assign_op<float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:150:33: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
150 | col(half).head(half2).swap(col(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op<float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:156:23: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
156 | topRows(half).swap(bottomRows(half).reverse());
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, 1, 1, false>, -1, 1, false>, 2>; Func = swap_assign_op<float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:160:33: required from ‘void Eigen::DenseBase<Derived>::reverseInPlace() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>]’
160 | row(half).head(half2).swap(row(half).tail(half2).reverse());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:710:41: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
710 | singVals.head(actual_n).reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:378:20: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
378 | B1.row(k1) = B.row(j);
| ~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>’
56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46: required from ‘void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
533 | m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU<MatrixType>& Eigen::PartialPivLU<MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
133 | compute();
| ~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:131:44: required from here
131 | ve = (e.cwiseProduct(y)).colwise().sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = float]’
37 | return a.template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
372 | hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >, Eigen::internal::IndexBased, float>’
564 | CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
369 | typedef typename nested_eval<Lhs,1>::type LhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = float]’
485 | return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]’
464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<const Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> > >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:768:53: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVals(const ArrayRef&, const ArrayRef&, const IndicesRef&, VectorType&, ArrayRef, ArrayRef) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>]’
768 | right = (diag(actual_n-1) + col0.matrix().norm());
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:636:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
636 | computeSingVals(col0, diag, perm, singVals, shifts, mus);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, -1, 1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1076:16: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>; MatrixXr = Eigen::Matrix<float, -1, -1>]’
1076 | U.col(k) = VectorType::Unit(n+1, k);
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
669 | computeSingVecs(zhat, diag, perm, singVals, shifts, mus, U, V);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:147:18: required from ‘void Eigen::MatrixBase<Derived>::normalize() [with Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
147 | RealScalar z = squaredNorm();
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:1088:25: required from ‘void Eigen::BDCSVD<MatrixType>::computeSingVecs(const ArrayRef&, const ArrayRef&, const IndicesRef&, const VectorType&, const ArrayRef&, const ArrayRef&, MatrixXr&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; ArrayRef = Eigen::Ref<Eigen::Array<float, -1, 1>, 0, Eigen::InnerStride<1> >; IndicesRef = Eigen::Ref<Eigen::Array<long int, 1, -1> >; VectorType = Eigen::Matrix<float, -1, 1>; MatrixXr = Eigen::Matrix<float, -1, -1>]’
1088 | U.col(k).normalize();
| ~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:669:3: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
669 | computeSingVecs(zhat, diag, perm, singVals, shifts, mus, U, V);
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1498:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>, Eigen::internal::IndexBased, float>’
1498 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1> >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Functor = swap_assign_op<float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>; SrcXprType = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Functor = Eigen::internal::swap_assign_op<float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>; Src = Eigen::Reverse<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, -1, -1, true>, 1>; Func = swap_assign_op<float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Reverse.h:212:60: required from ‘void Eigen::VectorwiseOp<ExpressionType, Direction>::reverseInPlace() [with ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; int Direction = 1]’
212 | internal::vectorwise_reverse_inplace_impl<Direction>::run(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:711:48: required from ‘void Eigen::BDCSVD<MatrixType>::computeSVDofM(Eigen::Index, Eigen::Index, MatrixXr&, VectorType&, MatrixXr&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int; MatrixXr = Eigen::Matrix<float, -1, -1>; VectorType = Eigen::Matrix<float, -1, 1>]’
711 | U.leftCols(actual_n).rowwise().reverseInPlace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:558:3: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
558 | computeSVDofM(firstCol + shift, n, UofSVD, singVals, VofSVD);
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >; Rhs = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 1, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long int, 1>; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]’
184 | pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, float, 1, false, float, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long int, general_matrix_matrix_product<long int, float, 1, false, float, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2256 | typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2258 | HalfPacketSize = unpacket_traits<HalfPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2259 | QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2298 | PacketBlock<HalfPacket> kernel_half;
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
2304 | PacketBlock<QuarterPacket> kernel_quarter;
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<float, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:195:21: required from ‘static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = float]’
195 | pack_rhs(blockB, rhs.getSubMapper(k2,j2), actual_kc, actual_nc);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = float; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product<long int, float, 1, false, float, 0, false, 0, 1>; Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, float, float, -1, -1, -1, 1, false>]’
230 | Gemm::run(rows, cols, m_lhs.cols(),
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | m_actualAlpha, m_blocking, info);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<float, long int, general_matrix_matrix_product<long int, float, 1, false, float, 0, false, 0, 1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, gemm_blocking_space<0, float, float, -1, -1, -1, 1, false> >; Index = long int]’
114 | func(0,rows, 0,cols);
| ~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; Scalar = float]’
508 | internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
509 | (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = div_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Functor = Eigen::internal::div_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp<scalar_constant_op<float>, Eigen::Matrix<float, -1, 1> >; Func = div_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 8, 8, 0, 8, 8> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 8, 8, 0, 8, 8>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
365 | if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: required from ‘Eigen::SelfAdjointView<MatrixType, UpLo>& Eigen::SelfAdjointView<MatrixType, Mode>::rankUpdate(const Eigen::MatrixBase<OtherDerived>&, const Eigen::MatrixBase<OtherDerived>&, const Scalar&) [with DerivedU = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; DerivedV = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = float]’
85 | internal::selfadjoint_rank2_update_selector<Scalar, Index, UType, VType,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
86 | (IsRowMajor ? int(UpLo==Upper ? Lower : Upper) : UpLo)>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
87 | ::run(_expression().const_cast_derived().data(),_expression().outerStride(),UType(actualU),VType(actualV),actualAlpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
374 | matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
375 | .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, 1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int ProductTag = 6; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, 1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1632:27: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::CoeffReturnType Eigen::internal::evaluator<Eigen::Diagonal<ArgType, DiagIndex> >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 1>; int DiagIndex = 0; CoeffReturnType = float; Eigen::Index = long int]’
1632 | return m_argImpl.coeff(row + rowOffset(), row + colOffset());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; CoeffReturnType = float; Eigen::Index = long int]’
381 | { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
| ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0> >; Scalar = float]’
202 | res = eval.coeffByOuterInner(0, 0);
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Matrix<float, 1, -1>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<float, 1, -1>; Func = Eigen::internal::scalar_max_op<float, float, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<float, 1, -1> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<float, float, 0>; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]’
448 | return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::Matrix<float, 1, -1>; typename Eigen::internal::traits<T>::Scalar = float]’
466 | return maxCoeff<PropagateFast>();
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = add_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:130:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = add_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<float, 1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Matrix<float, 1, -1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >; Rhs = Eigen::Matrix<float, -1, -1>; Dest = Eigen::Matrix<float, 1, -1>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = float]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:64:48: required from here
64 | Eigen::VectorXf vy = y.colwise().squaredNorm(); vy=vy.array()*iN.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
86 | class SolveImpl<Decomposition,RhsType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> > >’
62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<float, -1, -1> > >; typename DstXprType::Scalar = float; typename Eigen::PartialPivLU<MatrixType>::Scalar = float]’
587 | dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
46 | makeHouseholder(essentialPart, tau, beta);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
363 | matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:337:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
62 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
63 | conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long int; int Mode = 1; bool Conjugate = false]’
125 | Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
110 | return numext::sqrt(squaredNorm());
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>; Scalar = float; RealScalar = float]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = float; typename Eigen::internal::traits<T>::Scalar = float]’
98 | return numext::real((*this).cwiseAbs2().sum());
| ~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase<Derived>::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1>; Derived = Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >; Scalar = float; RealScalar = float]’
78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm();
| ~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<float, 1, -1> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
94 | class CwiseUnaryOpImpl
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<float>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = float; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >]’
377 | = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = float]’
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:166:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = float; Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’
89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = float]’
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::SelfAdjointShape, Eigen::DenseShape, ProductTag>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Scalar = float]’
805 | selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = float]’
361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
| ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’
349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SelfAdjointView<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
369 | hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
370 | * (conj(h) * matA.col(i).tail(remainingSize)));
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; MatrixType = Eigen::Matrix<float, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
449 | tridiagonalization_inplace(mat, hCoeffs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<float, -1, -1>; DiagonalType = Eigen::Matrix<float, -1, 1>; SubDiagonalType = Eigen::Matrix<float, -1, 1>; CoeffVectorType = Eigen::Matrix<float, -1, 1>]’
434 | tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:156:19: required from here
156 | EVDofA.compute(A);
| ~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
500 | return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:179:27: required from here
179 | Eigen::MatrixXf hat = X*b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<float, -1, 1>; typename Dest::Scalar = float]’
379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:252:41: required from here
252 | ZPy = ZM.transpose() * e.col(trait);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<float, -1, -1>; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<float, -1, -1>, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:29:39: required from here
29 | Eigen::VectorXf n = Z.colwise().sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Functor = assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>; Src = Eigen::CwiseBinaryOp<scalar_quotient_op<float, float>, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> >, 1, -1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; typename Dest::Scalar = float]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 256>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 16, 16, 1, 16, 16>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 5; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
150 | Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 16>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >’
179 | typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix<Scalar, Index, Mode, true, LhsStorageOrder, ConjugateLhs, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride, Version>::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 5; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’
153 | triangularBuffer.diagonal().setZero();
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
438 | internal::product_triangular_matrix_matrix<Scalar, Index,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
439 | Mode, LhsIsTriangular,
| ~~~~~~~~~~~~~~~~~~~~~~
440 | (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
441 | (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
442 | (internal::traits<Dest >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
443 | ::run(
| ~~~~~^
444 | stripedRows, stripedCols, stripedDepth, // sizes
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
448 | actualAlpha, blocking
| ~~~~~~~~~~~~~~~~~~~~~
449 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Map<Eigen::Matrix<float, 1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = float]’
194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
| ~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 16, 0, 16, 16> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 0, 16, 16>, 0>’
63 | template<typename MatrixType, int _DiagIndex> class Diagonal
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Matrix<float, -1, 1> >; SrcXprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<float>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:64:48: required from here
64 | Eigen::VectorXf vy = y.colwise().squaredNorm(); vy=vy.array()*iN.array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Dest::Scalar = float]’
379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:252:41: required from here
252 | ZPy = ZM.transpose() * e.col(trait);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:389:32: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
389 | A.topRows(n1).noalias() = A1.leftCols(k1) * B1.topRows(k1);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >, 2, 1, true>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; Src = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, 2, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:570:19: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
570 | tmp.noalias() = m_naiveU.middleCols(firstCol, n+1) * UofSVD;
| ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 0>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]’
282 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]’
457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]’
341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:660:61: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, member_sum<float, float>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, Eigen::internal::member_sum<float, float>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:131:44: required from here
131 | ve = (e.cwiseProduct(y)).colwise().sum();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<Eigen::Ref<Eigen::Matrix<float, 1, -1>, 0, Eigen::InnerStride<> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = add_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 4, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >, -1, 1, true>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, Eigen::Matrix<float, -1, -1>, 0>; ExpressionType = Eigen::Map<Eigen::Matrix<float, -1, -1>, 16, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’
43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:395:19: required from ‘void Eigen::BDCSVD<MatrixType>::structured_update(Eigen::Block<Eigen::Matrix<typename Eigen::NumTraits<typename Xpr::Scalar>::Real, -1, -1, 0>, -1, -1>, const MatrixXr&, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; typename Eigen::NumTraits<typename Xpr::Scalar>::Real = float; typename Xpr::Scalar = float; MatrixXr = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
395 | tmp.noalias() = A*B;
| ~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:566:5: required from ‘void Eigen::BDCSVD<MatrixType>::divide(Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index, Eigen::Index) [with _MatrixType = Eigen::Matrix<float, -1, -1>; Eigen::Index = long int]’
566 | structured_update(m_naiveU.block(firstCol, firstCol, n + 1, n + 1), UofSVD, (n+2)/2);
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:294:3: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
294 | divide(0, m_diagSize - 1, 0, 0, 0);
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >’
94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 1, 16, 16> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 1, 16, 16>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 1, 0, 16, 1> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<float, 16, 16, 1, 16, 16>, 0>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<> >, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, Eigen::Matrix<float, 16, 16, 0, 16, 16> >’
60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
| ^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>; Scalar = float]’
347 | return derived() = Constant(rows(), cols(), val);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<float, 16, 16, 0, 16, 16>]’
548 | return setConstant(Scalar(0));
| ^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
344 | return unblocked(m);
| ~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>; Scalar = float; Eigen::Index = long int]’
363 | if((ret=unblocked(A11))>=0) return k+ret;
| ~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
408 | { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
456 | bool ok = Traits::inplace_decomposition(m_matrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT<MatrixType, UpLo>::LLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>; int _UpLo = 1]’
109 | compute(matrix.derived());
| ~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Cholesky/LLT.h:542:10: required from ‘const Eigen::LLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::llt() const [with Derived = Eigen::Matrix<float, -1, -1>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<float, -1, -1>]’
542 | return LLT<PlainObject>(derived());
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:154:13: required from here
154 | if(A.llt().info()==Eigen::NumericalIssue && deflate>deflateMax){ deflate -= 0.005;
| ~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 1>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = float; RhsScalar = float; Index = long int; int Mode = 2; bool Conjugate = false]’
78 | rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, 1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, 1>; int Side = 1; int Mode = 2]’
71 | triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
72 | (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
73 | ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:232:56: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
232 | if(svd.m_computeFullV) m_qr.householderQ().evalTo(svd.m_matrixV, m_workspace);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false> >; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, -1, false>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, 1, -1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > > >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:60:88: required from here
60 | for(int i=0; i<p; i++){ XX.row(i) = X.col(i).array().square().matrix().transpose() * Z;}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<float, long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = float; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’
155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
| ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int Side = 1; int Mode = 5]’
100 | triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
101 | (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’
181 | internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
182 | Side, Mode>::run(derived().nestedExpression(), otherCopy);
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; _MatrixType = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; unsigned int _Mode = 5]’
522 | { return solveInPlace<OnTheLeft>(other); }
| ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:493:62: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = float; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’
493 | A11.template triangularView<UnitLower>().solveInPlace(A12);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
2459 | PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Matrix<float, -1, -1>; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<float, -1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<float, float>; int Version = 1; Eigen::Index = long int]’
654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
| ~~~~~~~~~~~^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; int Options = 0; Scalar = float; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>]’
148 | generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Matrix<float, -1, -1>, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:72:43: required from here
72 | Eigen::MatrixXf tilde = X.transpose() * y;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Dest = Eigen::Matrix<float, -1, 1>; typename Dest::Scalar = float]’
379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, 1>; Lhs = Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>; Rhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Scalar = float]’
385 | internal::gemv_dense_selector<Side,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
386 | (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
387 | bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
388 | >::run(actual_lhs, actual_rhs, dst, alpha);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<float, -1, -1>, 1>, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:394:31: required from here
394 | b1 = LHS.llt().solve(RHS);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>’
372 | typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl<Eigen::Matrix<float, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’
370 | typedef typename nested_eval<Rhs,1>::type RhsNested;
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >; Scalar = float]’
478 | return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<float, -1, -1> >]’
445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1));
| ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, 7>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:45:94: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Map<Eigen::Matrix<float, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, 1>, 0, Eigen::InnerStride<1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 16, 1, 0, 16, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 16, 1, 0, 16, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Matrix<float, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:410:39: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
409 | dst.bottomRightCorner(dstStart, inputIsIdentity ? dstStart : dst.cols())
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
410 | .applyHouseholderOnTheLeft(essentialVector(actual_k), m_coeffs.coeff(actual_k), workspace.data());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >, 1, -1, true>, const Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> > > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> > >; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >; typename Dest::Scalar = float]’
379 | dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = float]’
206 | gemv_dense_selector<OnTheRight,OtherStorageOrder,BlasCompatible>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
207 | ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::Matrix<float, -1, -1> >, 0>; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:141:54: required from here
141 | TildeHat = b.transpose()* Dinv.cwiseProduct(tilde);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::ArrayWrapper<Eigen::Matrix<float, -1, 1> > > >, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:246:78: required from here
246 | tmpCoef = iC.array().matrix().asDiagonal() * X.transpose() * ZM.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:252:41: required from here
252 | ZPy = ZM.transpose() * e.col(trait);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, 1>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:338:47: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
338 | upperbidiagonalization_inplace_unblocked(B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
339 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
340 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
341 | X.data()
| ~~~~~~~~
342 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix<float, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl<Mode, LhsIsTriangular, Lhs, false, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix<float, -1, -1>; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<float, -1, -1>; typename Dest::Scalar = float]’
462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2, 8>’
120 | class dense_product_base
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2, Eigen::Dense>’
152 | class ProductImpl<Lhs,Rhs,Option,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 2>’
71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<float, -1, -1>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >; Func = generic_product_impl<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]’
280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >; Derived = Eigen::Matrix<float, -1, -1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Product<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Matrix<float, -1, 1>, const Eigen::Matrix<float, -1, 1> > >, 0>, const Eigen::Matrix<float, -1, -1> > >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:127:69: required from here
127 | e = (e-(X.col(J)*(b1-b0).transpose()).cwiseProduct(Z)).matrix();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Matrix<float, -1, 1>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, 1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:45:94: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:229:19: required from ‘bool Eigen::internal::qr_preconditioner_impl<MatrixType, 2, 0, true>::run(Eigen::JacobiSVD<MatrixType, 2>&, const MatrixType&) [with MatrixType = Eigen::Matrix<float, -1, -1>]’
229 | m_qr.compute(m_adjoint);
| ~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:692:30: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>& Eigen::JacobiSVD<MatrixType, QRPreconditioner>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
692 | m_qr_precond_morecols.run(*this, m_scaledMatrix);
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/JacobiSVD.h:549:14: required from ‘Eigen::JacobiSVD<MatrixType, QRPreconditioner>::JacobiSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; int QRPreconditioner = 2; MatrixType = Eigen::Matrix<float, -1, -1>]’
549 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:259:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
259 | JacobiSVD<MatrixType> jsvd(matrix,computationOptions);
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:347:55: required from ‘void Eigen::internal::upperbidiagonalization_inplace_blocked(MatrixType&, BidiagType&, Eigen::Index, typename MatrixType::Scalar*) [with MatrixType = Eigen::Matrix<float, -1, -1>; BidiagType = BandMatrix<float, -1, -1, 1, 0, 1>; Eigen::Index = long int; typename MatrixType::Scalar = float]’
347 | upperbidiagonalization_blocked_helper<BlockType>( B,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
348 | &(bidiagonal.template diagonal<0>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
349 | &(bidiagonal.template diagonal<1>().coeffRef(k)),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
350 | bs,
| ~~~
351 | X.topLeftCorner(brows,bs),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~
352 | Y.topLeftCorner(bcols,bs)
| ~~~~~~~~~~~~~~~~~~~~~~~~~
353 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:391:41: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>& Eigen::internal::UpperBidiagonalization<_MatrixType>::compute(const _MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>]’
391 | upperbidiagonalization_inplace_blocked(m_householder, m_bidiagonal);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/UpperBidiagonalization.h:61:7: required from ‘Eigen::internal::UpperBidiagonalization<_MatrixType>::UpperBidiagonalization(const MatrixType&) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
61 | compute(matrix);
| ^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:286:45: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
286 | internal::UpperBidiagonalization<MatrixX> bid(copy);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, 1, false>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; Src = Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> > >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0; ResScalar = float]’
137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = float]’
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
1043 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>; int Side = 1]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:347:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
347 | householderV.applyThisOnTheLeft(m_matrixV); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:180:76: required from here
180 | for(int i=0; i<k; i++){ hat.col(i) = ( M * MU.col(i) + hat.col(i)).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Matrix<float, -1, 1>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:247:60: required from here
247 | PZM.col(i) = ZM.col(i).array() - (X*tmpCoef).array();}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = add_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = add_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<float, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’
177 | call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> > >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>, Eigen::Dense>’
118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
52 | template<typename MatrixType> class Transpose
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; SrcXprType = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<float, float>, const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:45:94: required from here
45 | for(int j=0; j<m; j++){ GEN.col(j) = (GEN.col(j) - M*(iMM*M.transpose()*GEN.col(j))).array(); }
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true> >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >, -1, 1, true>; ResultType = float; Scalar = float]’
97 | { return mat.MEMBER(); } \
| ~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<float>, const Eigen::Matrix<float, -1, -1> >; MemberOp = Eigen::internal::member_sum<float, float>; int Direction = 0; Scalar = float; Eigen::Index = long int]’
183 | return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
| ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, float>’
311 | CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
90 | struct evaluator : public unary_evaluator<T>
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> > >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, -1, true>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<float, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::SVDBase<Eigen::BDCSVD<Eigen::Matrix<float, -1, -1> > >, Eigen::Matrix<float, -1, 1> >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:124:75: required from here
124 | b1 = LHS.bdcSvd(Eigen::ComputeThinU|Eigen::ComputeThinV).solve(RHS);}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22: required from ‘Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>; Rhs = Eigen::Matrix<float, -1, 1>; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
74 | xpr.index() ))
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>]’
363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<float, -1, 1> >, Eigen::Matrix<float, -1, -1>, 0>, Eigen::Matrix<float, -1, 1>, 0>; typename Eigen::internal::traits<T>::Scalar = float]’
510 | return derived().diagonal().sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~^~
GWAS.cpp:261:52: required from here
261 | tmp = (gamma.transpose() * ZPZ * gamma).trace();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 2>’
481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, 0>’
37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false, true>’
329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false>, Eigen::Dense>’
148 | class CwiseBinaryOpImpl
| ^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
77 | class CwiseBinaryOp :
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator<Eigen::Product<Lhs, Rhs, 1>, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix<float, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<float, -1, -1>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = float; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >; CoeffReturnType = float; Eigen::Index = long int]’
606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; Workspace = Eigen::Matrix<float, 1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:364:25: required from ‘void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, bool) const [with Dest = Eigen::Matrix<float, -1, -1>; VectorsType = const Eigen::Matrix<float, -1, -1>; CoeffsType = Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>; int Side = 2]’
364 | applyThisOnTheLeft(dst, workspace, inputIsIdentity);
| ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:340:36: required from ‘void Eigen::BDCSVD<MatrixType>::copyUV(const HouseholderU&, const HouseholderV&, const NaiveU&, const NaiveV&) [with HouseholderU = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 1>, 2>; HouseholderV = Eigen::HouseholderSequence<const Eigen::Matrix<float, -1, -1>, const Eigen::Diagonal<const Eigen::Matrix<float, -1, -1>, 0>, 1>; NaiveU = Eigen::Matrix<float, -1, -1>; NaiveV = Eigen::Matrix<float, -1, -1>; _MatrixType = Eigen::Matrix<float, -1, -1>]’
340 | householderU.applyThisOnTheLeft(m_matrixU); // FIXME this line involves a temporary buffer
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:322:27: required from ‘Eigen::BDCSVD<_MatrixType>& Eigen::BDCSVD<MatrixType>::compute(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
322 | if(m_isTranspose) copyUV(bid.householderV(), bid.householderU(), m_naiveV, m_naiveU);
| ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SVD/BDCSVD.h:143:12: required from ‘Eigen::BDCSVD<MatrixType>::BDCSVD(const MatrixType&, unsigned int) [with _MatrixType = Eigen::Matrix<float, -1, -1>; MatrixType = Eigen::Matrix<float, -1, -1>]’
143 | compute(matrix, computationOptions);
| ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:49:85: required from here
49 | Eigen::BDCSVD<Eigen::MatrixXf> svd(GEN, Eigen::ComputeThinU | Eigen::ComputeThinV );
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<float, float>]’
780 | DstEvaluatorType dstEvaluator(dst);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase<Derived>::operator-=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<float, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’
164 | call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Eigen::Index = long int]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<float, float>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> > >; Scalar = float]’
243 | const Index alignedStart = internal::first_default_aligned(xpr);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
418 | return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = float]’
463 | return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; ResScalar = float]’
50 | return a.transpose().template binaryExpr<conj_prod>(b).sum();
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<float, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = float; typename Eigen::internal::traits<T>::Scalar = float; typename Eigen::internal::traits<OtherDerived>::Scalar = float]’
84 | return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<float, -1, 1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; Derived = Eigen::Matrix<float, -1, 1>]’
779 | internal::call_assignment(this->derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<float, float>, const Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true> >, Eigen::Matrix<float, -1, -1>, 0> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<float, -1, 1> > > > >; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
225 | return Base::_set(other);
| ~~~~~~~~~~^~~~~~~
GWAS.cpp:121:87: required from here
121 | RHS = (X.col(J).transpose()*e).array() + XX.row(J).array()*b0.transpose().array();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
654 | return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >’
100 | struct evaluator<const T>
| ^~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, float, float>’
739 | CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
| ^~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> > >’
357 | class redux_evaluator : public internal::evaluator<_XprType>
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<float, float>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<float, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<float, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = float]’
414 | ThisEvaluator thisEval(derived());
| ^~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25: required from ‘void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Matrix<float, -1, 1>]’
883 | this->_set_noalias(other);
| ~~~~~~~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; _Scalar = float; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’
332 | Base::template _init1<T>(x);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Func = assign_op<float, float>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
850 | typename plain_matrix_type<Src>::type tmp(src);
| ^~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<float, -1, -1>, Eigen::Transpose<Eigen::Matrix<float, -1, -1> >, 0>, Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>]’
66 | internal::call_assignment(derived(), other.derived());
| ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
GWAS.cpp:38:45: required from here
38 | MU.col(i) = iMM * WM.transpose()*Y.col(i);
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false, false>’
172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false, Eigen::Dense>’
154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>’
103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
| ^~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Functor = assign_op<float, float>]’
774 | SrcEvaluatorType srcEvaluator(src);
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<float, float>; Weak = void]’
954 | call_dense_assignment_loop(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>; Func = assign_op<float, float>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]’
858 | call_assignment_no_alias(dst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<float, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<float>, Eigen::Matrix<float, -1, -1> >, 1, -1, false>]’
836 | call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
| ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60: required from ‘static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<float, -1, -1>; XprType = Eigen::Matrix<float, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; typename DstXprType::Scalar = float; typename SrcXprType::Scalar = float]’
322 | compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<float, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Func = assign_op<float, float>]’
890 | Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; Derived = Eigen::Matrix<float, -1, -1>]’
594 | _set_noalias(other);
| ~~~~~~~~~~~~^~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<float, -1, -1> >; _Scalar = float; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’
423 | : Base(other.derived())
| ^
GWAS.cpp:69:35: required from here
69 | Eigen::MatrixXf iG = vb.inverse();
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
1071 | PacketAlignment = unpacket_traits<PacketScalar>::alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl<Lhs, LhsMode, false, Rhs, 0, true>::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<float, -1, 1>, -1, 1, false>; Lhs = Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, -1, 1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, 1, true>, -1, 1, false> >]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
227 | internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
229 | (
| ^
230 | lhs.rows(), // size
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
232 | actualRhsPtr, // rhs info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
233 | actualDestPtr, // result info
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
234 | actualAlpha // scale factor
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
235 | );
| ~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const float*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = float; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here
41 | void selfadjoint_matrix_vector_product<Scalar,Index,StorageOrder,UpLo,ConjugateLhs,ConjugateRhs,Version>::run(
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:341:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<float, float>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<float>, const Eigen::Matrix<float, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<float, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<float, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6]’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized]
327 | internal::triangular_matrix_vector_product
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
328 | <Index,Mode,
| ~~~~~~~~~~~~
329 | LhsScalar, LhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
330 | RhsScalar, RhsBlasTraits::NeedToConjugate,
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
331 | RowMajor>
| ~~~~~~~~~
332 | ::run(actualLhs.rows(),actualLhs.cols(),
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
333 | actualLhs.data(),actualLhs.outerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
334 | actualRhsPtr,1,
| ~~~~~~~~~~~~~~~
335 | dest.data(),dest.innerStride(),
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
336 | actualAlpha);
| ~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const float*’ to ‘static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = float; bool ConjLhs = false; RhsScalar = float; bool ConjRhs = false; int Version = 0]’ declared here
105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product<Index,Mode,LhsScalar,ConjLhs,RhsScalar,ConjRhs,RowMajor,Version>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/Rcpp/include' -I'/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include' -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -DR_NO_REMAP -c RcppExports.cpp -o RcppExports.o
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:205,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Dense:1,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:28,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigen.h:25,
from RcppExports.cpp:4:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
49 | template<> struct is_arithmetic<__m128> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
222 | template<> struct unpacket_traits<Packet4f> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
228 | template<> struct unpacket_traits<Packet2d> {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
| ^
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:174:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
16 | struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
29 | struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> { \
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:165:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here
24 | ResAlignment = traits<Quaternion<float> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Core:271:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<float>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here
27 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
266 | Alignment = internal::traits<Coefficients>::Alignment,
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here
98 | ResAlignment = traits<Quaternion<double> >::Alignment
| ^~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<double, 4, 1>’
178 | class Matrix
| ^~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType;
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion<double>’
273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here
102 | {
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
In file included from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/SparseCore:37,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/Sparse:26,
from /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
36 | class SparseCompressedBase
| ^~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix<double, 0, int>’
96 | class SparseMatrix
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here
61 | typedef Triplet<double> T;
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
47 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, -1>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, -1, -1> >’
22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
| ^~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, -1, -1>’
178 | class Matrix
| ^~~~~~
RcppExports.cpp:28:84: required from here
28 | rcpp_result_gen = Rcpp::wrap(GWAS(Y, GEN, M, NumPCs, maxit, logtol, cores, verb));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
190 | bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
| ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
208 | typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
| ^~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 0>’:
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 1>’
302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, -1, -1>, 3>’
555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase<Eigen::Matrix<float, -1, -1> >’
41 | template<typename Derived> class DenseBase
| ^~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, -1, -1> >’
48 | template<typename Derived> class MatrixBase
| ^~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, -1, -1> >’
98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
| ^~~~~~~~~~~~~~~
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix<float, -1, -1>’
178 | class Matrix
| ^~~~~~
RcppExports.cpp:28:84: required from here
28 | rcpp_result_gen = Rcpp::wrap(GWAS(Y, GEN, M, NumPCs, maxit, logtol, cores, verb));
| ^
/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
56 | >::type PacketReturnType;
| ^~~~~~~~~~~~~~~~
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o mas.so GWAS.o RcppExports.o -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR
make[1]: Leaving directory '/tmp/RtmpchxZIK/R.INSTALL23b4c45026cbf0/mas/src'
make[1]: Entering directory '/tmp/RtmpchxZIK/R.INSTALL23b4c45026cbf0/mas/src'
make[1]: Leaving directory '/tmp/RtmpchxZIK/R.INSTALL23b4c45026cbf0/mas/src'
installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-mas/00new/mas/libs
** R
** data
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (mas)