robotpkg/wip/py-proxsuite bulk build results
Log for py311-proxsuite-0.2.13r1 on Debian-12-x86_64: build.log (Back)
--- Environment ---
PYTHON311=/usr/bin/python3.11
_override_vars_wip_visit_struct=PKGREQD PKGREQD PKGREQD
OPSYS=Debian
LOWER_ARCH=x86_64
_override_vars_pkgtools_pkg_install=PKGREQD PKGREQD PKGREQD
PKGREPO2DEB=/local/robotpkg/sbin/pkgrepo2deb
_overrides_wip_visit_struct_PKGREQD=visit-struct>=1.0.0 visit-struct>=1.0.0 visit-struct>=1.0.0
LC_TIME=C
GZIP_CMD=/usr/bin/gzip
OS_KERNEL_VERSION=6.1.0-17-amd64
BULKBASE=/opt/openrobots
OS_VERSION=12
ECHO_N=echo -n
_overrides_pkgtools_pkg_install_PKGREQD=pkg_install>=20110805.12 pkg_install>=20110805.12 pkg_install>=20110805.12
ROBOTPKG_BASE=/local/robotpkg
PYTHON_LIB=/usr/lib/x86_64-linux-gnu/libpython3.11.so
OLDPWD=/local/robotpkg/var/lib/robotpkg/wip/py-proxsuite
_override_vars_pkgtools_tnftp=PKGREQD PKGREQD
PYTHON=/usr/bin/python3.11
_overrides_pkgtools_tnftp_PKGREQD=tnftp>=20130505~ssl tnftp>=20130505~ssl
MACHINE_ARCH=x86_64
hline="$bf======================================================================$rm"
PKG_DBDIR=/opt/openrobots/var/db/robotpkg
_override_vars_wip_py_proxsuite=PKGREQD
FC=false
EXPECT_TARGETS=package
_overrides_wip_py_proxsuite_PKGREQD=py311-proxsuite-0.2.13r1~!doc
PATCH=/usr/bin/patch
LC_MONETARY=C
LC_CTYPE=C
PKG_CONFIG=/usr/bin/pkg-config
MAKEFLAGS= --no-print-directory -- PKGREQD.cmdline=py311-proxsuite-0.2.13r1~!doc RECURSIVE_PKGPATH=wip/py-proxsuite\ tag=Debian-12-x86_64 BULK_LOGDIR=/local/robotpkg/var/log/bulk BULKBASE=/opt/openrobots LOCALBASE=/opt/openrobots PKG_DBDIR=/opt/openrobots/var/db/robotpkg EXPECT_TARGETS=package
LOWER_OPSYS=debian
CPP=/usr/bin/gcc -E
_override_vars_pkgtools_digest=PKGREQD PKGREQD
bf=
_override_vars_pkgtools_pkgrepo2deb=PKGREQD PKGREQD
_overrides_pkgtools_digest_PKGREQD=digest>=20080510 digest>=20080510
TAR=/usr/bin/tar
DIGEST=/opt/openrobots/sbin/robotpkg_digest
PYTHONDONTWRITEBYTECODE=1
MACHINE_KERNEL=Linux-6.1.0-17-amd64-x86_64
GCC=/usr/bin/gcc
LOWER_OS_VERSION=12
_overrides_pkgtools_pkgrepo2deb_PKGREQD=pkgrepo2deb>=1.9 pkgrepo2deb>=1.9
OWNER_GID=robots
PKGTOOLS_VERSION=20211115.2
PKG_CONFIG_PATH=/opt/openrobots/lib/pkgconfig
RECURSIVE_PKGPATH=wip/py-proxsuite
GXX=/usr/bin/g++
MAKECONF=/opt/robotpkg/etc/robotpkg-wip.conf
_override_vars_wip_simde=PKGREQD PKGREQD PKGREQD
rm=
_override_vars_archivers_pax=PKGREQD PKGREQD
ROBOTPKG_TRUSTED_ENV=robotpkg
LC_COLLATE=C
PYTHON_INCLUDE_CONFIG=/usr/include/python3.11/
OS_KERNEL=Linux
_overrides_wip_simde_PKGREQD=simde>=0.7.2 simde>=0.7.2 simde>=0.7.2
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
CXXCPP=/usr/bin/g++ -E
CMAKE=/usr/bin/cmake
_overrides_archivers_pax_PKGREQD=pax pax
MAKELEVEL=4
DEB_HOST_MULTIARCH=x86_64-linux-gnu
MACHINE_PLATFORM=Debian-12-x86_64
ROBOTPKG_DIR=/local/robotpkg/var/lib/robotpkg
LANG=C
TNFTP=/opt/openrobots/sbin/tnftp
MAKEOVERRIDES=${-*-command-variables-*-}
PYTHON311_INCLUDE=/usr/include/python3.11/
_override_vars_wip_matio=PKGREQD PKGREQD PKGREQD
LC_MESSAGES=C
tag=Debian-12-x86_64
_overrides_wip_matio_PKGREQD=matio>=1.5.17 matio>=1.5.17 matio>=1.5.17
CXX=/usr/bin/g++
_override_vars_pkgtools_pkg_config=PKGREQD PKGREQD PKGREQD
SETUPTOOLS_USE_DISTUTILS=stdlib
LOCALBASE=/opt/openrobots
OWNER_UID=rbulk
BULK_LOGDIR=/local/robotpkg/var/log/bulk
ZCAT=/usr/bin/zcat
PAX=/usr/bin/pax
LOWER_OS_KERNEL=linux
_override_vars_wip_proxsuite=PKGREQD PKGREQD PKGREQD
_overrides_pkgtools_pkg_config_PKGREQD=pkg-config>=0.22 pkg-config>=0.22 pkg-config>=0.22
_override_vars_math_eigen3=PKGREQD PKGREQD PKGREQD
GPG=/usr/bin/gpg --homedir=/opt/robotpkg/etc/gnupg
PWD=/local/robotpkg/var/lib/robotpkg/wip/py-proxsuite
_overrides_wip_proxsuite_PKGREQD=proxsuite>=0.1.0 proxsuite>=0.1.0 proxsuite>=0.1.0
PYTHON_INCLUDE=/usr/include/python3.11/
_overrides_math_eigen3_PKGREQD=eigen3>=3.0.0 eigen3>=3.0.0 eigen3>=3.0.0
LC_NUMERIC=C
PYTHONPATH=
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MFLAGS=--no-print-directory
CC=/usr/bin/gcc
PKG_CONFIG_LIBDIR=/usr/lib/x86_64-linux-gnu/pkgconfig:/usr/lib/pkgconfig:/usr/share/pkgconfig
NODENAME=hydra64-debian12
PYTHON311_LIB=/usr/lib/x86_64-linux-gnu/libpython3.11.so
---
Running set -e; cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && cd '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13' && /usr/bin/env MAKELEVEL= 'CPPFLAGS=' 'CFLAGS=-pipe -O3 -DNDEBUG' 'LDFLAGS=' 'CXXFLAGS=-pipe -O3 -DNDEBUG' PREFIX='/opt/openrobots' HOME=/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work PATH='/opt/openrobots/bin:/opt/openrobots/sbin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin' LD_LIBRARY_PATH='' LOCALBASE=/opt/openrobots PKGMANDIR=man make -j4 -f Makefile all
/usr/bin/cmake -S/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 -B/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 --check-build-system CMakeFiles/Makefile.cmake 0
/usr/bin/cmake -E cmake_progress_start /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/CMakeFiles /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13//CMakeFiles/progress.marks
make -f CMakeFiles/Makefile2 all
make[1]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
make -f bindings/python/CMakeFiles/instructionset.dir/build.make bindings/python/CMakeFiles/instructionset.dir/depend
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cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/CMakeFiles/instructionset.dir/DependInfo.cmake --color=
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/CMakeFiles/proxsuite_pywrap.dir/DependInfo.cmake --color=
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/CMakeFiles/proxsuite_pywrap_avx2.dir/DependInfo.cmake --color=
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/CMakeFiles/proxsuite_pywrap_avx512.dir/DependInfo.cmake --color=
make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
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make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
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make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
[ 12%] Building CXX object bindings/python/CMakeFiles/proxsuite_pywrap.dir/src/expose-all.cpp.o
[ 25%] Building CXX object bindings/python/CMakeFiles/instructionset.dir/helpers/instruction-set.cpp.o
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/g++ -Dinstructionset_EXPORTS -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include -isystem /usr/include/python3.11 -isystem /usr/include/eigen3 -isystem /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/external/pybind11/include -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -fPIC -MD -MT bindings/python/CMakeFiles/instructionset.dir/helpers/instruction-set.cpp.o -MF CMakeFiles/instructionset.dir/helpers/instruction-set.cpp.o.d -o CMakeFiles/instructionset.dir/helpers/instruction-set.cpp.o -c /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/helpers/instruction-set.cpp
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/g++ -DPYTHON_MODULE_NAME=proxsuite_pywrap -Dproxsuite_pywrap_EXPORTS -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include -isystem /usr/include/python3.11 -isystem /usr/include/eigen3 -isystem /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/external/pybind11/include -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -fPIC -MD -MT bindings/python/CMakeFiles/proxsuite_pywrap.dir/src/expose-all.cpp.o -MF CMakeFiles/proxsuite_pywrap.dir/src/expose-all.cpp.o.d -o CMakeFiles/proxsuite_pywrap.dir/src/expose-all.cpp.o -c /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/src/expose-all.cpp
[ 37%] Building CXX object bindings/python/CMakeFiles/proxsuite_pywrap_avx2.dir/src/expose-all.cpp.o
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/g++ -DPROXSUITE_VECTORIZE -DPYTHON_MODULE_NAME=proxsuite_pywrap_avx2 -Dproxsuite_pywrap_avx2_EXPORTS -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include -isystem /usr/include/python3.11 -isystem /usr/include/eigen3 -isystem /opt/openrobots/include -isystem /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/external/pybind11/include -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -fPIC -mavx2 -mfma -MD -MT bindings/python/CMakeFiles/proxsuite_pywrap_avx2.dir/src/expose-all.cpp.o -MF CMakeFiles/proxsuite_pywrap_avx2.dir/src/expose-all.cpp.o.d -o CMakeFiles/proxsuite_pywrap_avx2.dir/src/expose-all.cpp.o -c /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/src/expose-all.cpp
[ 50%] Building CXX object bindings/python/CMakeFiles/proxsuite_pywrap_avx512.dir/src/expose-all.cpp.o
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/g++ -DPROXSUITE_VECTORIZE -DPYTHON_MODULE_NAME=proxsuite_pywrap_avx512 -Dproxsuite_pywrap_avx512_EXPORTS -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 -I/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include -isystem /usr/include/python3.11 -isystem /usr/include/eigen3 -isystem /opt/openrobots/include -isystem /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/external/pybind11/include -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -fPIC -mavx512f -mfma -MD -MT bindings/python/CMakeFiles/proxsuite_pywrap_avx512.dir/src/expose-all.cpp.o -MF CMakeFiles/proxsuite_pywrap_avx512.dir/src/expose-all.cpp.o.d -o CMakeFiles/proxsuite_pywrap_avx512.dir/src/expose-all.cpp.o -c /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/src/expose-all.cpp
[ 62%] Linking CXX shared module proxsuite/instructionset.so
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/instructionset.dir/link.txt --verbose=1
/usr/bin/g++ -fPIC -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -shared -o proxsuite/instructionset.so "CMakeFiles/instructionset.dir/helpers/instruction-set.cpp.o" -Wl,-rpath,::::::::::::::::
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[ 62%] Built target instructionset
make -f bindings/python/CMakeFiles/compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python.dir/build.make bindings/python/CMakeFiles/compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python.dir/depend
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 && /usr/bin/cmake -E cmake_depends "Unix Makefiles" /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/CMakeFiles/compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python.dir/DependInfo.cmake --color=
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make -f bindings/python/CMakeFiles/compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python.dir/build.make bindings/python/CMakeFiles/compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python.dir/build
make[2]: Entering directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/python3.11 /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/cmake-module/compile.py /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python proxsuite/__init__.py
make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
[ 62%] Built target compile_pyc__local_robotpkg_var_tmp_robotpkg_wip_py-proxsuite_work_proxsuite-0.2.13_bindings_python
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/include/immintrin.h:49,
from /usr/include/eigen3/Eigen/src/Core/util/ConfigureVectorization.h:361,
from /usr/include/eigen3/Eigen/Core:22,
from /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/fwd.hpp:31,
from /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python/src/expose-all.cpp:4:
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1273:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
In file included from /usr/lib/gcc/x86_64-linux-gnu/12/include/immintrin.h:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1273:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1275:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1275:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1277:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1277:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1279:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1279:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1282:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1282:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1284:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1284:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1286:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1286:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1288:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1288:41,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1291:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1291:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1292:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1292:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1293:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1293:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1294:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'void Eigen::internal::ptranspose(PacketBlock<__vector(8) double, 4>&)' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1294:3,
inlined from 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2464:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; int nr = 4; bool Conjugate = false; bool PanelMode = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1946:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1947:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1953:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1954:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:765:27,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_insertf64x4(__m512d, __m256d, int)',
inlined from 'Packet Eigen::internal::ploadquad(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:766:28,
inlined from 'void Eigen::internal::gebp_traits<_LhsScalar, _RhsScalar, _ConjLhs, _ConjRhs, Arch, _PacketSize>::loadRhsQuad(const RhsScalar*, RhsPacket&) const [with _LhsScalar = double; _RhsScalar = double; bool _ConjLhs = false; bool _ConjRhs = false; int Arch = 1; int _PacketSize = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:496:32,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1968:34:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:6210:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
6210 | return (__m512d) __builtin_ia32_insertf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
6211 | (__v4df) __B,
| ~~~~~~~~~~~~~
6212 | __imm,
| ~~~~~~
6213 | (__v8df)
| ~~~~~~~~
6214 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
6215 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1992:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1022:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::conditional<((Eigen::internal::unpacket_traits<T>::size % 8) == 0), typename Eigen::internal::unpacket_traits<T>::half, Packet>::type Eigen::internal::predux_half_dowto4(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:1023:41,
inlined from 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1998:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 24; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In static member function 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1034:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1034:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1035:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1035:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1036:61:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1036:61:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1037:69:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1037:69:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1039:70:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1039:70:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1041:77:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1041:77:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1044:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1044:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1045:71:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; U = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1045:71:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1046:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1046:24:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1048:56:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1048:56:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1049:64:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1049:64:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1053:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, -1, 1, false> >; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>::<lambda(double)>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1053:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:159:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:159:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:160:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:349:33,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:148:43,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:43:31,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:160:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:164:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:167:43:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:174:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:175:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_primal_residual(const Model<T>&, const proxsuite::proxqp::Results<T>&, Workspace<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:496:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:496:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::sparse::detail::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:652:39:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:652:39:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:655:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:655:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:662:30:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:662:30:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::linalg::veg::Tuple<T, T> proxsuite::proxqp::sparse::detail::unscaled_primal_dual_residual(proxsuite::proxqp::Results<T>&, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, T&, T&, T&, T&, T&, T&, const P&, const proxsuite::proxqp::sparse::Model<T, I>&, proxsuite::proxqp::sparse::QpView<T, I>, VecMapMut<T>, VecMapMut<T>, VecMapMut<T>, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:467:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:475:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::compute_inner_loop_saddle_point(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:225:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:225:31:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'bool proxsuite::proxqp::dense::global_primal_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In member function 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In member function 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:84:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:84:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:85:58:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:85:58:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:88:23:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:88:23:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:94:65:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:94:65:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:102:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:102:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:105:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:105:15:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:115:14:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:115:14:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:130:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:130:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:145:32:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:145:32:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:161:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:459:1,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:161:49:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:168:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/linesearch.hpp:168:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'proxsuite::proxqp::dense::linesearch::PrimalDualDerivativeResult<T> proxsuite::proxqp::dense::linesearch::primal_dual_derivative_results(const proxsuite::proxqp::dense::Model<T>&, proxsuite::proxqp::Results<T>&, proxsuite::proxqp::dense::Workspace<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/preconditioner/ruiz.hpp:145:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::sparse::preconditioner::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpViewMut<T, I>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::sparse::preconditioner::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:75:9:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:91:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:135:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:143:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:201:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > > >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/preconditioner/ruiz.hpp:69:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'T proxsuite::proxqp::dense::detail::ruiz_scale_qp_in_place(proxsuite::proxqp::VectorViewMut<T>, std::ostream*, proxsuite::proxqp::dense::QpViewBoxMut<T>, T, proxsuite::linalg::veg::isize, proxsuite::proxqp::Symmetry, proxsuite::linalg::veg::dynstack::DynStackMut) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:128:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup_equilibration(Workspace<T>&, const proxsuite::proxqp::Settings<T>&, preconditioner::RuizEquilibration<T>&, bool) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/helpers.hpp:403:45:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::setup(proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<LhsScalar, -1, -1, 1>, 0, typename Eigen::internal::conditional<const Eigen::Matrix<LhsScalar, -1, -1, 1>::IsVectorAtCompileTime, Eigen::InnerStride<1>, Eigen::OuterStride<> >::type> >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::optional<Eigen::Ref<const Eigen::Matrix<Type, -1, 1> > >, proxsuite::proxqp::Settings<T>&, Model<T>&, Workspace<T>&, proxsuite::proxqp::Results<T>&, preconditioner::RuizEquilibration<T>&, proxsuite::proxqp::PreconditionerStatus) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:388:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:389:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:390:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:391:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:392:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:393:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:394:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:395:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:435:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:436:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:437:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:438:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:466:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:467:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/GeneralMatrixVector.h:489:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::general_matrix_vector_product<Index, LhsScalar, LhsMapper, 1, ConjugateLhs, RhsScalar, RhsMapper, ConjugateRhs, Version>::run(Index, Index, const LhsMapper&, const RhsMapper&, ResScalar*, Index, ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 1>; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper<double, long int, 0>; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:136:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:136:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:137:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]' at /usr/include/eigen3/Eigen/src/Core/products/SelfadjointMatrixVector.h:137:37:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In static member function 'static void Eigen::internal::selfadjoint_matrix_vector_product<Scalar, Index, StorageOrder, UpLo, ConjugateLhs, ConjugateRhs, Version>::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 1; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:171:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:171:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:357:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:59:31,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:175:59:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:357:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::sub_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:178:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = sub_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:59:31,
inlined from 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:175:59:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::iterative_residual(const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:360:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:375:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:381:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:386:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::global_dual_residual(proxsuite::proxqp::Results<T>&, Workspace<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&, T&, T&, T&, T&, T&, T&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:42:54:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:60:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::squaredNorm() const [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:98:46,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:60:55:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:98:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:98:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:101:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]' at /usr/include/eigen3/unsupported/Eigen/src/IterativeSolvers/MINRES.h:101:38:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void Eigen::internal::minres(const MatrixType&, const Rhs&, Dest&, const Preconditioner&, Eigen::Index&, typename Dest::RealScalar&) [with MatrixType = proxsuite::proxqp::sparse::detail::AugmentedKkt<double, int>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Dest = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; Preconditioner = Eigen::IdentityPreconditioner]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
[ 75%] Linking CXX shared module proxsuite/proxsuite_pywrap.so
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/proxsuite_pywrap.dir/link.txt --verbose=1
/usr/bin/g++ -fPIC -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -shared -o proxsuite/proxsuite_pywrap.so "CMakeFiles/proxsuite_pywrap.dir/src/expose-all.cpp.o" -Wl,-rpath,::::::::::::::::
make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
[ 75%] Built target proxsuite_pywrap
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:146:28:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::ldl_iter_solve_noalias(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorView<T>, proxsuite::proxqp::VectorView<T>, const proxsuite::proxqp::Results<T>&, const Model<T, I>&, proxsuite::linalg::veg::isize, proxsuite::linalg::sparse::MatMut<T, I>, Eigen::MINRES<detail::AugmentedKkt<T, I>, 3, Eigen::IdentityPreconditioner>&, bool, proxsuite::linalg::veg::dynstack::DynStackMut, T*, I*, I*, const I*, const proxsuite::proxqp::Settings<T>&, proxsuite::linalg::sparse::MatMut<T, I>, proxsuite::linalg::veg::SliceMut<bool>) [with T = double; I = int]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const proxsuite::proxqp::sparse::Model<T, I>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:555:30,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1179:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::sparse::detail::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::sparse::QpView<T, I>, const proxsuite::proxqp::Settings<T>&, const proxsuite::proxqp::sparse::Model<T, I>&, const P&) [with T = double; I = int; P = proxsuite::proxqp::sparse::preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/utils.hpp:555:30,
inlined from 'proxsuite::proxqp::sparse::qp_solve<double, int, preconditioner::RuizEquilibration<double, int> >(proxsuite::proxqp::Results<double>&, Model<double, int>&, const proxsuite::proxqp::Settings<double>&, Workspace<double, int>&, preconditioner::RuizEquilibration<double, int>&)::<lambda()>' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1179:47:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In lambda function:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Matrix<double, -1, 1>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:524:46:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:827:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:827:42:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1368:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >; U = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<-1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/sparse/solver.hpp:1368:36:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::sparse::qp_solve(proxsuite::proxqp::Results<T>&, Model<T, I>&, const proxsuite::proxqp::Settings<T>&, Workspace<T, I>&, P&) [with T = double; I = int; P = preconditioner::RuizEquilibration<double, int>]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
[ 87%] Linking CXX shared module proxsuite/proxsuite_pywrap_avx2.so
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/proxsuite_pywrap_avx2.dir/link.txt --verbose=1
/usr/bin/g++ -fPIC -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -shared -o proxsuite/proxsuite_pywrap_avx2.so "CMakeFiles/proxsuite_pywrap_avx2.dir/src/expose-all.cpp.o" -Wl,-rpath,::::::::::::::::
make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
[ 87%] Built target proxsuite_pywrap_avx2
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:237:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:246:25:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:224:20:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:288:21:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:297:27:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:240:28,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:276:22:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::iterative_solve_with_permut_fact(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, T, proxsuite::linalg::veg::isize) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:627:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:627:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:630:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:50:63,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:380:62,
inlined from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 7>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:376:53,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:361:27,
inlined from 'static void Eigen::internal::generic_product_impl_base<Lhs, Rhs, Derived>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:353:18,
inlined from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Product<Lhs, Rhs, Options>, Eigen::internal::add_assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::add_assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; Scalar = double]' at /usr/include/eigen3/Eigen/src/Core/ProductEvaluators.h:163:42,
inlined from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; Func = add_assign_op<double, double>]' at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49,
inlined from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator+=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; ExpressionType = Eigen::Matrix<double, -1, 1>; StorageBase = Eigen::MatrixBase]' at /usr/include/eigen3/Eigen/src/Core/NoAlias.h:51:31,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:630:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:257:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:258:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:261:36,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m512d _mm512_max_pd(__m512d, __m512d)',
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:393:23,
inlined from 'static Packet Eigen::internal::pminmax_impl<NaNPropagation>::run(const Packet&, const Packet&, Op) [with Packet = __vector(8) double; Op = __vector(8) double (*)(const __vector(8) double&, const __vector(8) double&); int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:467:14,
inlined from 'Packet Eigen::internal::pmax(const Packet&, const Packet&) [with int NaNPropagation = 0; Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:530:43,
inlined from 'Packet Eigen::internal::scalar_max_op<LhsScalar, RhsScalar, NaNPropagation>::packetOp(const Packet&, const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double; int NaNPropagation = 0]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:181:42,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:263:38,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op<double, double, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:448:25,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/DenseBase.h:466:37,
inlined from 'static Eigen::internal::lpNorm_selector<Derived, -1>::RealScalar Eigen::internal::lpNorm_selector<Derived, -1>::run(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:244:33,
inlined from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::lpNorm() const [with int p = -1; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:269:52,
inlined from 'typename D::Scalar proxsuite::proxqp::dense::nb::infty_norm::operator()(const Eigen::MatrixBase<Derived>&) const [with D = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/views.hpp:1435:50,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:638:19:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:12998:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
12998 | return (__m512d) __builtin_ia32_maxpd512_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
12999 | (__v8df) __B,
| ~~~~~~~~~~~~~
13000 | (__v8df)
| ~~~~~~~~
13001 | _mm512_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
13002 | (__mmask8) -1,
| ~~~~~~~~~~~~~~
13003 | _MM_FROUND_CUR_DIRECTION);
| ~~~~~~~~~~~~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:198:11: note: '__Y' was declared here
198 | __m512d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:286:30,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:705:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'bool proxsuite::proxqp::dense::global_dual_residual_infeasibility(proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, proxsuite::proxqp::VectorViewMut<T>, Workspace<T>&, const proxsuite::proxqp::Settings<T>&, const Model<T>&, const preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/utils.hpp:286:30,
inlined from 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:705:41:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::primal_dual_newton_semi_smooth(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&, T) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:997:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:1062:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
In function '__m256d _mm512_extractf64x4_pd(__m512d, int)',
inlined from 'typename Eigen::internal::unpacket_traits<T>::type Eigen::internal::predux(const Packet&) [with Packet = __vector(8) double]' at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:998:41,
inlined from 'Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::result_type Eigen::internal::scalar_sum_op<LhsScalar, RhsScalar>::predux(const Packet&) const [with Packet = __vector(8) double; LhsScalar = double; RhsScalar = double]' at /usr/include/eigen3/Eigen/src/Core/functors/BinaryFunctors.h:48:28,
inlined from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:265:24,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:418:56,
inlined from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]' at /usr/include/eigen3/Eigen/src/Core/Redux.h:463:25,
inlined from 'static Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::ResScalar Eigen::internal::dot_nocheck<T, U, NeedToTranspose>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Matrix<double, -1, 1>; U = Eigen::Matrix<double, -1, 1>; bool NeedToTranspose = false]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:37:51,
inlined from 'typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType Eigen::MatrixBase<Derived>::dot(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Matrix<double, -1, 1>]' at /usr/include/eigen3/Eigen/src/Core/Dot.h:84:58,
inlined from 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]' at /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/include/proxsuite/proxqp/dense/solver.hpp:1062:51:
/usr/lib/gcc/x86_64-linux-gnu/12/include/avx512fintrin.h:5946:10: warning: '__Y' may be used uninitialized [-Wmaybe-uninitialized]
5946 | return (__m256d) __builtin_ia32_extractf64x4_mask ((__v8df) __A,
| ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
5947 | __imm,
| ~~~~~~
5948 | (__v4df)
| ~~~~~~~~
5949 | _mm256_undefined_pd (),
| ~~~~~~~~~~~~~~~~~~~~~~~
5950 | (__mmask8) -1);
| ~~~~~~~~~~~~~~
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h: In function 'void proxsuite::proxqp::dense::qp_solve(const proxsuite::proxqp::Settings<T>&, const Model<T>&, proxsuite::proxqp::Results<T>&, Workspace<T>&, preconditioner::RuizEquilibration<T>&) [with T = double]':
/usr/lib/gcc/x86_64-linux-gnu/12/include/avxintrin.h:1210:11: note: '__Y' was declared here
1210 | __m256d __Y = __Y;
| ^~~
[100%] Linking CXX shared module proxsuite/proxsuite_pywrap_avx512.so
cd /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/bindings/python && /usr/bin/cmake -E cmake_link_script CMakeFiles/proxsuite_pywrap_avx512.dir/link.txt --verbose=1
/usr/bin/g++ -fPIC -pedantic -Wno-long-long -Wall -Wextra -Wcast-align -Wcast-qual -Wformat -Wwrite-strings -Wconversion -pipe -O3 -DNDEBUG -shared -o proxsuite/proxsuite_pywrap_avx512.so "CMakeFiles/proxsuite_pywrap_avx512.dir/src/expose-all.cpp.o" -Wl,-rpath,::::::::::::::::
make[2]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
[100%] Built target proxsuite_pywrap_avx512
make[1]: Leaving directory '/local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13'
/usr/bin/cmake -E cmake_progress_start /local/robotpkg/var/tmp/robotpkg/wip/py-proxsuite/work/proxsuite-0.2.13/CMakeFiles 0
