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 :1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives :1: DeprecationWarning: The distutils.sysconfig module is deprecated, use sysconfig instead :1: DeprecationWarning: The distutils package is deprecated and slated for removal in Python 3.12. Use setuptools or check PEP 632 for potential alternatives :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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::size % 8) == 0), typename Eigen::internal::unpacket_traits::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::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; 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::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; 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >; U = Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >; U = Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 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::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::sparse::qp_solve >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33, inlined from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33, inlined from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33, inlined from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, 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::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33, inlined from 'static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; 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; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; ExpressionType = Eigen::Matrix; 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Results&, Workspace&, const preconditioner::RuizEquilibration&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::linalg::veg::Tuple proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results&, VecMapMut, VecMapMut, VecMapMut, VecMapMut, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model&, proxsuite::proxqp::sparse::QpView, VecMapMut, VecMapMut, VecMapMut, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]': /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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, proxsuite::proxqp::Results&, Workspace&) [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&, proxsuite::proxqp::Results&, Workspace&) [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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const preconditioner::RuizEquilibration&) [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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const preconditioner::RuizEquilibration&) [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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const preconditioner::RuizEquilibration&) [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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const preconditioner::RuizEquilibration&) [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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' 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::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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 proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model&, proxsuite::proxqp::Results&, proxsuite::proxqp::dense::Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, proxsuite::proxqp::sparse::QpViewMut, 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, proxsuite::proxqp::sparse::QpViewMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, proxsuite::proxqp::sparse::QpViewMut, 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, proxsuite::proxqp::sparse::QpViewMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, proxsuite::proxqp::sparse::QpViewMut, 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, proxsuite::proxqp::sparse::QpViewMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, proxsuite::proxqp::sparse::QpViewMut, 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, proxsuite::proxqp::sparse::QpViewMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 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::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 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::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, 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&) const [with D = Eigen::Block, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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&) const [with D = Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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&, const proxsuite::proxqp::Settings&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional, 0, typename Eigen::internal::conditional::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional > >, proxsuite::optional > >, proxsuite::proxqp::Settings&, Model&, Workspace&, proxsuite::proxqp::Results&, preconditioner::RuizEquilibration&, 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; 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::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::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::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::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::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::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::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::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::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::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::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::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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model&, proxsuite::proxqp::Results&, Workspace&, 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&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model&, proxsuite::proxqp::Results&, Workspace&, 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&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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&, proxsuite::proxqp::Results&, Workspace&, 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&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::sub_assign_op, 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&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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, -1, 1, false>; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = sub_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -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&, proxsuite::proxqp::Results&, Workspace&, 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&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Workspace&, const Model&, 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: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&, Workspace&, const Model&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Map, 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&) const [with D = Eigen::Map, 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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Map, 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&) const [with D = Eigen::Map, 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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Map, 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&) const [with D = Eigen::Map, 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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Map, 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&) const [with D = Eigen::Map, 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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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, proxsuite::proxqp::VectorView, proxsuite::proxqp::VectorView, const proxsuite::proxqp::Results&, const Model&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut, Eigen::MINRES, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings&, proxsuite::linalg::sparse::MatMut, proxsuite::linalg::veg::SliceMut) [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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const proxsuite::proxqp::sparse::Model&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::' 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::sparse::QpView, const proxsuite::proxqp::Settings&, const proxsuite::proxqp::sparse::Model&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration]' 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 >(proxsuite::proxqp::Results&, Model&, const proxsuite::proxqp::Settings&, Workspace&, preconditioner::RuizEquilibration&)::' 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix]' 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&) const [with D = Eigen::Matrix]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<-1, 1> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map, 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]' 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&, Model&, const proxsuite::proxqp::Settings&, Workspace&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration]': /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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Block, -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&) const [with D = Eigen::Block, -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&, const Model&, proxsuite::proxqp::Results&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::add_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = add_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::add_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = add_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::add_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = add_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, true>; U = Eigen::Block, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62, inlined from 'static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53, inlined from 'static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, false>; Derived = Eigen::internal::generic_product_impl, Eigen::Block, -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, Eigen::internal::add_assign_op, 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&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Block, -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; Src = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; Func = add_assign_op]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from 'ExpressionType& Eigen::NoAlias::operator+=(const StorageBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix; 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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 '__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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&) const [with D = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&) const [with D = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&) const [with D = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&, 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::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::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37, inlined from 'static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33, inlined from 'typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&) const [with D = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >]' 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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const Model&, const preconditioner::RuizEquilibration&) [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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Map, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Map, 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, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, proxsuite::proxqp::VectorViewMut, Workspace&, const proxsuite::proxqp::Settings&, const Model&, const preconditioner::RuizEquilibration&) [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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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: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&, const Model&, proxsuite::proxqp::Results&, Workspace&, 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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&) [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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&) [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::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::result_type Eigen::internal::scalar_sum_op::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::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56, inlined from 'typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25, inlined from 'static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51, inlined from 'typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58, inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&) [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&, const Model&, proxsuite::proxqp::Results&, Workspace&, preconditioner::RuizEquilibration&) [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