robotpkg/wip/py-proxsuite bulk build results
Log for py311-proxsuite-0.2.13r1 on Debian-12-x86_64: bulk.log (Back)
=> Checking for clear installation
===> Installing bootstrap dependencies for py311-proxsuite-0.2.13r1
=> Installing /opt/robotpkg/var/lib/robotpkg/packages/bsd/Debian-12-x86_64/All/digest-20080510.tgz
=> Installing /opt/robotpkg/var/lib/robotpkg/packages/bsd/Debian-12-x86_64/All/tnftp-20151004~ssl.tgz
===> Checking bootstrap dependencies for py311-proxsuite-0.2.13r1
=> Required robotpkg package digest>=20080510: digest-20080510 found
=> Required robotpkg package tnftp>=20130505~ssl: tnftp-20151004~ssl found
=> Required system package gnupg>=1: gnupg-2.2.40 found
=> Required system package gzip: gzip-1.12 found
=> Required system package patch>=2.0: patch-2.7.6 found
=> Required system package pax and tar archivers: pax found
=> Required system package pkg_install>=20110805.12: pkg_install-20211115.2 found
=> Required system package pkgrepo2deb>=1.9: pkgrepo2deb-1.12 found
===> Done bootstrap-depends for py311-proxsuite-0.2.13r1
===> Installing full dependencies for py311-proxsuite-0.2.13r1
=> Dependency digest-20080510 already installed
=> Installing /opt/robotpkg/var/lib/robotpkg/wip/packages/bsd/Debian-12-x86_64/All/matio-1.5.23r1.tgz
=> Installing /opt/robotpkg/var/lib/robotpkg/wip/packages/bsd/Debian-12-x86_64/All/proxsuite-0.2.13r1.tgz
=> Dependency simde-0.7.2 already installed
=> Dependency tnftp-20151004~ssl already installed
=> Dependency visit-struct-1.0 already installed
===> Checking build options for py311-proxsuite-0.2.13r1
=> Building with no option.
===> Checking alternatives for py311-proxsuite-0.2.13r1
=> Use the GNU C++ compiler: c++-compiler provided by g++>=3
=> Use the GNU C compiler: c-compiler provided by gcc>=3
=> Use python-3.11: python>=3.6 provided by python311>=3.11<3.12
===> Checking dependencies for py311-proxsuite-0.2.13r1
=> Required system package cmake>=3.12: cmake-3.25.1 found
=> Required system package eigen3>=3.0.0: eigen3-3.4.0 found
=> Required system package g++>=3: g++-12 found
=> Required system package gcc>=3: gcc-12 found
=> Required system package libstdc++: libstdc++ found
=> Required system package pkg-config>=0.22: pkg-config-1.8.1 found
=> Required system package python311>=3.11<3.12: python311-3.11.2 found
=> Required robotpkg package matio>=1.5.17: matio-1.5.23r1 found
=> Required robotpkg package proxsuite>=0.1.0: proxsuite-0.2.13r1 found
=> Required robotpkg package simde>=0.7.2: simde-0.7.2 found
=> Required robotpkg package visit-struct>=1.0.0: visit-struct-1.0 found
===> Done depends for py311-proxsuite-0.2.13r1
===> Extracting for py311-proxsuite-0.2.13r1
=> SHA1 checksums OK
=> RMD160 checksums OK
===> Patching for py311-proxsuite-0.2.13r1
=> Applying robotpkg patches for py311-proxsuite-0.2.13r1
===> Configuring for py311-proxsuite-0.2.13r1
<string>:1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
<string>:1: DeprecationWarning: The distutils.sysconfig module is deprecated, use sysconfig instead
<string>:1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives
<string>:1: DeprecationWarning: The distutils.sysconfig module is deprecated, use sysconfig instead
===> Building for py311-proxsuite-0.2.13r1
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/include/immintrin.h:49,
from /usr/include/eigen3/Eigen/src/Core/util/ConfigureVectorization.h:361,
from /usr/include/eigen3/Eigen/Core:22,
from /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/fwd.hpp:31,
from /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/src/expose-all.cpp:4:
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1273:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/include/immintrin.h:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1273:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1275:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1275:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1277:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1277:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1279:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1279:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1282:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1282:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1284:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1284:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1286:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1286:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1288:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1288:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1291:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1291:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1292:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1292:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1293:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1293:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1294:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1294:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function '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 = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1034:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1034:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1035:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1035:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1036:61:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1036:61:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1037:69:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1037:69:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1039:70:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1039:70:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1041:77:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1041:77:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1044:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1044:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1045:71:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1045:71:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1046:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1046:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1048:56:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1048:56:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1049:64:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1049:64:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1053:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1053:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:159:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:159:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:160:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:160:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:496:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:496:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:652:39:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:652:39:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:655:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:655:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:662:30:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:662:30:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:225:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:225:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In member function 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In member function 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:84:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:84:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:85:58:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:85:58:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:88:23:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:88:23:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:94:65:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:94:65:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:102:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:102:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:105:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:105:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:115:14:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:115:14:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:130:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:130:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:145:32:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:145:32:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:161:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:161:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:168:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:168:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined 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::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined 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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:136:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function '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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined 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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:136:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function '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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined 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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:137:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function '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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined 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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:137:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function '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 = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:171:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:171:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:357:18,
inlined 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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:59:31,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:175:59:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined 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<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:357:18,
inlined 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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:59:31,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:175:59:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:60:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:60:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:98:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:98:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:101:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:101:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const proxsuite::proxqp::sparse::Model<T, I>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:555:30,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1179:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const proxsuite::proxqp::sparse::Model<T, I>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:555:30,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1179:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:827:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:827:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1368:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1368:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_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::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:627:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_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::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:627:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_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::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:630:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined 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<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined 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<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_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::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:630:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined 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<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:286:30,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:705:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:286:30,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:705:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:1062:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined 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<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined 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::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined 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::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:1062:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
===> Installing for py311-proxsuite-0.2.13r1
=> Compiling python files
=> Adding run-time search paths to pkg-config files
=> Registering installation for py311-proxsuite-0.2.13r1
Added matio-1.5.23r1 to the requirements of py311-proxsuite-0.2.13r1
Added proxsuite-0.2.13r1 to the requirements of py311-proxsuite-0.2.13r1
Added simde-0.7.2 to the requirements of py311-proxsuite-0.2.13r1
Added visit-struct-1.0 to the requirements of py311-proxsuite-0.2.13r1
===> Done install for py311-proxsuite-0.2.13r1
===> Building binary package for py311-proxsuite-0.2.13r1
Creating package /opt/robotpkg/var/lib/robotpkg/wip/packages/bsd/Debian-12-x86_64/All/py311-proxsuite-0.2.13r1
=> Linking package in /opt/robotpkg/var/lib/robotpkg/wip/packages/bsd/Debian-12-x86_64/pub
=> Updating debian binary packages
dpkg-deb: building package 'robotpkg-py311-proxsuite' in '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/pkg2deb.685232/robotpkg-py311-proxsuite_0.2.13r1_amd64.deb'.
updated /opt/robotpkg/var/lib/robotpkg/wip/packages/debian/pub/dists/bookworm/robotpkg/binary-amd64/robotpkg-py311-proxsuite_0.2.13r1_amd64.deb
===> Deinstalling for py311-proxsuite
Removing dependency matio-1.5.23r1
Removing dependency proxsuite-0.2.13r1
Removing dependency simde-0.7.2
Removing dependency visit-struct-1.0
Removing dependency
robotpkg_delete: couldn't entirely delete package `proxsuite-0.2.13r1'
original MD5 checksum failed, not deleting: /opt/openrobots/lib/cmake/proxsuite/proxsuiteTargets.cmake
Removed py311-proxsuite-0.2.13r1
Removed digest-20080510
Removed tnftp-20151004~ssl
