Unable to compile

[fb82]

Hi,

I'm unable to compile on a fresh Ubuntu 24.04 installation, got the following errors (PoseLib and COLMAP 3.11.1 compiled with no problem from GitHub, it this info are needed):
~/git/glomap$ mkdir build cd build cmake .. -GNinja -- The C compiler identification is GNU 13.3.0 -- The CXX compiler identification is GNU 13.3.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Success -- Found Threads: TRUE -- Found CHOLMOD headers in: /usr/include/suitesparse -- Found CHOLMOD library: /usr/lib/x86_64-linux-gnu/libcholmod.so -- Found Config headers in: /usr/include/suitesparse -- Found Config library: /usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so -- Found AMD headers in: /usr/include/suitesparse -- Found AMD library: /usr/lib/x86_64-linux-gnu/libamd.so -- Found CAMD headers in: /usr/include/suitesparse -- Found CAMD library: /usr/lib/x86_64-linux-gnu/libcamd.so -- Found CCOLAMD headers in: /usr/include/suitesparse -- Found CCOLAMD library: /usr/lib/x86_64-linux-gnu/libccolamd.so -- Found COLAMD headers in: /usr/include/suitesparse -- Found COLAMD library: /usr/lib/x86_64-linux-gnu/libcolamd.so -- Looking for shm_open in rt -- Looking for shm_open in rt - found -- Adding librt to SuiteSparse_config libraries (required on Linux & Unix [not OSX] if SuiteSparse is compiled with timing). -- Found METIS: /usr/include (found version "5.1.0") -- Looking for cholmod_metis -- Looking for cholmod_metis - found -- Found SuiteSparse: /usr/include/suitesparse (found version "7.6.1") found components: CHOLMOD Config AMD CAMD CCOLAMD COLAMD -- Found AMD headers in: /usr/include/suitesparse -- Found AMD library: /usr/lib/x86_64-linux-gnu/libamd.so -- Found CAMD headers in: /usr/include/suitesparse -- Found CAMD library: /usr/lib/x86_64-linux-gnu/libcamd.so -- Found CCOLAMD headers in: /usr/include/suitesparse -- Found CCOLAMD library: /usr/lib/x86_64-linux-gnu/libccolamd.so -- Found CHOLMOD headers in: /usr/include/suitesparse -- Found CHOLMOD library: /usr/lib/x86_64-linux-gnu/libcholmod.so -- Found COLAMD headers in: /usr/include/suitesparse -- Found COLAMD library: /usr/lib/x86_64-linux-gnu/libcolamd.so -- Found SPQR headers in: /usr/include/suitesparse -- Found SPQR library: /usr/lib/x86_64-linux-gnu/libspqr.so -- Found Config headers in: /usr/include/suitesparse -- Found Config library: /usr/lib/x86_64-linux-gnu/libsuitesparseconfig.so -- Found Intel Thread Building Blocks (TBB) library (2021.11 / ) include location: . Assuming SuiteSparseQR was compiled with TBB. -- Adding librt to SuiteSparse_config libraries (required on Linux & Unix [not OSX] if SuiteSparse is compiled with timing). -- Found SuiteSparse: /usr/include/suitesparse (found suitable version "7.6.1", minimum required is "7.6.1") found components: AMD CAMD CCOLAMD CHOLMOD COLAMD SPQR Config -- Found required Ceres dependency: Eigen version 3.4.0 in /usr/share/eigen3/cmake -- Found required Ceres dependency: glog -- Found required Ceres dependency: gflags -- Found Ceres version: 2.2.0 installed in: /usr with components: [EigenSparse, SparseLinearAlgebraLibrary, LAPACK, SuiteSparse, SchurSpecializations] -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.83.0/BoostConfig.cmake (found version "1.83.0") -- Configuring PoseLib... -- BUILD_SHARED_LIBS: OFF -- CMAKE_BUILD_TYPE: Release -- CMAKE_GENERATOR: Single-config -- CMAKE_GENERATOR: Ninja -- CMAKE_REGISTRY_FOLDER: OFF -- Configuring PoseLib... done -- Configuring COLMAP... -- Enabling LSD support -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.83.0/BoostConfig.cmake (found version "1.83.0") found components: graph program_options system -- Found FreeImage -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libfreeimage.so -- Found FLANN -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libflann.so -- Found LZ4 -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/liblz4.so -- Found Metis -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libmetis.so -- Found Glog -- Target : glog::glog -- Found SQLite3: /usr/include (found version "3.45.1") -- Found OpenGL: /usr/lib/x86_64-linux-gnu/libOpenGL.so -- Found Glew -- Includes : /usr/include -- Libraries : /usr/lib/x86_64-linux-gnu/libGLEW.so -- Found Git: /usr/bin/git (found version "2.43.0") -- Found required Ceres dependency: Eigen version 3.4.0 in /usr/share/eigen3/cmake -- Found required Ceres dependency: glog -- Found required Ceres dependency: gflags -- Found Ceres version: 2.2.0 installed in: /usr with components: [EigenSparse, SparseLinearAlgebraLibrary, LAPACK, SuiteSparse, SchurSpecializations] -- Enabling OpenMP support -- Using header-only CGAL -- Targeting Ninja -- Using /usr/bin/c++ compiler. -- Found GMP: /usr/lib/x86_64-linux-gnu/libgmp.so -- Found MPFR: /usr/lib/x86_64-linux-gnu/libmpfr.so -- Found Boost: /usr/lib/x86_64-linux-gnu/cmake/Boost-1.83.0/BoostConfig.cmake (found suitable version "1.83.0", minimum required is "1.66") -- Boost include dirs: /usr/include -- Boost libraries: -- Using gcc version 4 or later. Adding -frounding-math -- Found CGAL -- Includes : /usr/include -- Libraries : CGAL -- The CUDA compiler identification is NVIDIA 12.0.140 -- Detecting CUDA compiler ABI info -- Detecting CUDA compiler ABI info - done -- Check for working CUDA compiler: /usr/bin/nvcc - skipped -- Detecting CUDA compile features -- Detecting CUDA compile features - done -- Enabling CUDA support (version: 12.0.140, archs: native) -- Found Qt -- Module : /usr/lib/x86_64-linux-gnu/cmake/Qt5Core -- Module : /usr/lib/x86_64-linux-gnu/cmake/Qt5OpenGL -- Module : /usr/lib/x86_64-linux-gnu/cmake/Qt5Widgets -- Enabling GUI support -- Enabling OpenGL support -- Enabling GPU support (OpenGL: ON, CUDA: ON) -- Build type specified as Release -- Enabling SIMD support -- Disabling interprocedural optimization -- Disabling ccache support -- Disabling profiling support -- Configuring PoseLib... -- Configuring PoseLib... done -- Configuring COLMAP... done -- Disabling ccache support -- Configuring done (15.4s) -- Generating done (0.0s) -- Build files have been written to: /home/warlock/git/glomap/build warlock@honey-gold:~/git/glomap/build$ ninja [40/288] Building CXX object _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/relpose_6pt_focal.cc.o FAILED: _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/relpose_6pt_focal.cc.o /usr/bin/c++ -DGLOG_VERSION_MAJOR=0 -DGLOG_VERSION_MINOR=6 -DPOSELIB_DEBUG=0 -I/home/warlock/git/glomap/build/_deps/poselib-src -I/home/warlock/git/glomap/build/_deps/poselib-build/generated_headers -isystem /usr/include/eigen3 -O3 -DNDEBUG -std=gnu++17 -march=native -Wall -Werror -fPIC -Wno-ignored-optimization-argument -Wno-maybe-uninitialized -MD -MT _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/relpose_6pt_focal.cc.o -MF _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/relpose_6pt_focal.cc.o.d -o _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/solvers/relpose_6pt_focal.cc.o -c /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/solvers/relpose_6pt_focal.cc In file included from /usr/lib/gcc/x86_64-linux-gnu/13/include/immintrin.h:53, from /usr/include/eigen3/Eigen/src/Core/util/ConfigureVectorization.h:361, from /usr/include/eigen3/Eigen/Core:22, from /usr/include/eigen3/Eigen/Dense:1, from /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/misc/sturm.h:30, from /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/solvers/relpose_6pt_focal.cc:1: In function ‘__m512d _mm512_loadu_pd(const void*)’, inlined from ‘Packet Eigen::internal::ploadu(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]’ at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:698:52, inlined from ‘Packet Eigen::internal::ploadt(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double; int Alignment = 0]’ at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:969:26, inlined from ‘PacketType Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(8) double; Derived = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1, 0, 7, 1>]’ at /usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:944:50, inlined from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 64; int LoadMode = 0; PacketType = __vector(8) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:681:114, inlined from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:437:75, inlined from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Functor = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:785:37, inlined from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:954:31, inlined from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:858:27, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:18, inlined from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::MatrixBase<Derived>&) [with Derived = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/Assign.h:57:28, inlined from ‘Derived& Eigen::MapBase<Derived, 1>::operator=(const Eigen::MapBase<Derived, 1>&) [with Derived = Eigen::Block<Eigen::Matrix<double, 7, 1, 0, 7, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/MapBase.h:294:39, inlined from ‘Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>& Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>::operator=(const Eigen::internal::BlockImpl_dense<XprType, BlockRows, BlockCols, InnerPanel, true>&) [with XprType = Eigen::Matrix<double, 7, 1, 0, 7, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false]’ at /usr/include/eigen3/Eigen/src/Core/Block.h:341:5, inlined from ‘Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, 7, 1, 0, 7, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false]’ at /usr/include/eigen3/Eigen/src/Core/Block.h:161:5, inlined from ‘Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, 7, 1, 0, 7, 1>; int BlockRows = -1; int BlockCols = 1; bool InnerPanel = false]’ at /usr/include/eigen3/Eigen/src/Core/Block.h:111:5, inlined from ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 8, 8>, 7, 1, false> >; DstType = Eigen::Matrix<double, 7, 1, 0, 7, 1>; _MatrixType = Eigen::Matrix<double, 7, 7, 0, 7, 7>]’ at /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:373:21: /usr/lib/gcc/x86_64-linux-gnu/13/include/avx512fintrin.h:6301:24: error: array subscript ‘__m512d_u[0]’ is partly outside array bounds of ‘Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 8, 8>, 7, 1, false> > >::PlainObject [1]’ {aka ‘Eigen::Matrix<double, 7, 1, 0, 7, 1> [1]’} [-Werror=array-bounds=] 6301 | return *(__m512d_u *)__P; | ^~~ In file included from /usr/include/eigen3/Eigen/QR:34, from /usr/include/eigen3/Eigen/Dense:4: /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h: In member function ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 8, 8>, 7, 1, false> >; DstType = Eigen::Matrix<double, 7, 1, 0, 7, 1>; _MatrixType = Eigen::Matrix<double, 7, 7, 0, 7, 7>]’: /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:365:33: note: at offset [0, 48] into object ‘c’ of size 56 365 | typename RhsType::PlainObject c(rhs); | ^ At global scope: cc1plus: note: unrecognized command-line option ‘-Wno-ignored-optimization-argument’ may have been intended to silence earlier diagnostics cc1plus: all warnings being treated as errors [48/288] Building CXX object _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/misc/decompositions.cc.o FAILED: _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/misc/decompositions.cc.o /usr/bin/c++ -DGLOG_VERSION_MAJOR=0 -DGLOG_VERSION_MINOR=6 -DPOSELIB_DEBUG=0 -I/home/warlock/git/glomap/build/_deps/poselib-src -I/home/warlock/git/glomap/build/_deps/poselib-build/generated_headers -isystem /usr/include/eigen3 -O3 -DNDEBUG -std=gnu++17 -march=native -Wall -Werror -fPIC -Wno-ignored-optimization-argument -Wno-maybe-uninitialized -MD -MT _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/misc/decompositions.cc.o -MF _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/misc/decompositions.cc.o.d -o _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/misc/decompositions.cc.o -c /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/misc/decompositions.cc In file included from /usr/lib/gcc/x86_64-linux-gnu/13/include/immintrin.h:53, from /usr/include/eigen3/Eigen/src/Core/util/ConfigureVectorization.h:361, from /usr/include/eigen3/Eigen/Core:22, from /usr/include/eigen3/Eigen/Dense:1, from /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/misc/colmap_models.h:32, from /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/misc/decompositions.h:4, from /home/warlock/git/glomap/build/_deps/poselib-src/PoseLib/misc/decompositions.cc:1: In function ‘__m512d _mm512_loadu_pd(const void*)’, inlined from ‘Packet Eigen::internal::ploadu(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double]’ at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:698:52, inlined from ‘Packet Eigen::internal::ploadt(const typename unpacket_traits<T>::type*) [with Packet = __vector(8) double; int Alignment = 0]’ at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:969:26, inlined from ‘PacketType Eigen::internal::mapbase_evaluator<Derived, PlainObjectType>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(8) double; Derived = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; PlainObjectType = Eigen::Matrix<double, -1, 1, 0, 4, 1>]’ at /usr/include/eigen3/Eigen/src/Core/CoreEvaluators.h:944:50, inlined from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 64; int LoadMode = 0; PacketType = __vector(8) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:681:114, inlined from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:437:75, inlined from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Functor = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:785:37, inlined from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:954:31, inlined from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:858:27, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:18, inlined from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28, inlined from ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >; DstType = Eigen::Matrix<double, 3, 1>; _MatrixType = Eigen::Matrix<double, 4, -1, 0, 4, 4>]’ at /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:373:21: /usr/lib/gcc/x86_64-linux-gnu/13/include/avx512fintrin.h:6301:24: error: array subscript ‘__m512d_u[0]’ is partly outside array bounds of ‘Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> > >::PlainObject [1]’ {aka ‘Eigen::Matrix<double, 4, 1> [1]’} [-Werror=array-bounds=] 6301 | return *(__m512d_u *)__P; | ^~~ In file included from /usr/include/eigen3/Eigen/QR:34, from /usr/include/eigen3/Eigen/Dense:4: /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h: In member function ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >; DstType = Eigen::Matrix<double, 3, 1>; _MatrixType = Eigen::Matrix<double, 4, -1, 0, 4, 4>]’: /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:365:33: note: object ‘c’ of size 32 365 | typename RhsType::PlainObject c(rhs); | ^ In function ‘void _mm512_store_pd(void*, __m512d)’, inlined from ‘void Eigen::internal::pstore(Scalar*, const Packet&) [with Scalar = double; Packet = __vector(8) double]’ at /usr/include/eigen3/Eigen/src/Core/arch/AVX512/PacketMath.h:775:44, inlined from ‘void Eigen::internal::pstoret(Scalar*, const Packet&) [with Scalar = double; Packet = __vector(8) double; int Alignment = 64]’ at /usr/include/eigen3/Eigen/src/Core/GenericPacketMath.h:978:11, inlined from ‘void Eigen::internal::assign_op<DstScalar, SrcScalar>::assignPacket(DstScalar*, const Packet&) const [with int Alignment = 64; Packet = __vector(8) double; DstScalar = double; SrcScalar = double]’ at /usr/include/eigen3/Eigen/src/Core/functors/AssignmentFunctors.h:28:50, inlined from ‘void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 64; int LoadMode = 0; PacketType = __vector(8) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:681:47, inlined from ‘static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false> >, Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false> >, Eigen::internal::assign_op<double, double>, 0>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:437:75, inlined from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Functor = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:785:37, inlined from ‘static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:954:31, inlined from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:890:49, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Func = assign_op<double, double>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:858:27, inlined from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>; Src = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/AssignEvaluator.h:836:18, inlined from ‘Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, 4, 1>, -1, 1, false>; Derived = Eigen::Block<Eigen::Matrix<double, 3, 1>, -1, 1, false>]’ at /usr/include/eigen3/Eigen/src/Core/Assign.h:66:28, inlined from ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >; DstType = Eigen::Matrix<double, 3, 1>; _MatrixType = Eigen::Matrix<double, 4, -1, 0, 4, 4>]’ at /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:373:21: /usr/lib/gcc/x86_64-linux-gnu/13/include/avx512fintrin.h:416:20: error: ‘void* __builtin_memcpy(void*, const void*, long unsigned int)’ reading 64 or more bytes from a region of size 32 [-Werror=stringop-overread] 416 | *(__m512d *) __P = __A; | ~~~~~~~~~~~~~~~~~^~~~~ /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h: In member function ‘void Eigen::HouseholderQR<MatrixType>::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Block<Eigen::Matrix<double, 4, 4>, 4, 1, true> >; DstType = Eigen::Matrix<double, 3, 1>; _MatrixType = Eigen::Matrix<double, 4, -1, 0, 4, 4>]’: /usr/include/eigen3/Eigen/src/QR/HouseholderQR.h:365:33: note: source object ‘c’ of size 32 365 | typename RhsType::PlainObject c(rhs); | ^ At global scope: cc1plus: note: unrecognized command-line option ‘-Wno-ignored-optimization-argument’ may have been intended to silence earlier diagnostics cc1plus: all warnings being treated as errors [49/288] Building CXX object _deps/poselib-build/PoseLib/CMakeFiles/PoseLib.dir/robust/bundle.cc.o ninja: build stopped: subcommand failed.

[fb82]

update: no problem disabling FETCH_COLMAP and FETCH_POSELIB from CMake options