******************************************************************************** conan install tensorflow-lite/2.6.0@ --build=tensorflow-lite --profile=/home/conan/w/BuildSingleReference/48904/7357dfe0-abbe-4ff0-ab61-762d21d9fb90/profile.txt ******************************************************************************** Configuration: [settings] arch=x86_64 build_type=Debug compiler=gcc compiler.libcxx=libstdc++11 compiler.version=7 os=Linux [options] tensorflow-lite:shared=False [build_requires] [env] tensorflow-lite/2.6.0: Forced build from source Installing package: tensorflow-lite/2.6.0 Requirements abseil/20210324.2 from 'conan-center' - Cache cpuinfo/cci.20201217 from 'conan-center' - Cache eigen/3.4.0 from 'conan-center' - Cache farmhash/cci.20190513 from 'conan-center' - Cache fft/cci.20061228 from 'conan-center' - Cache flatbuffers/2.0.0 from 'conan-center' - Cache gemmlowp/cci.20210928 from 'conan-center' - Cache intel-neon2sse/cci.20210225 from 'conan-center' - Cache ruy/cci.20210622 from 'conan-center' - Cache tensorflow-lite/2.6.0 from local cache - Cache Packages abseil/20210324.2:1a651c5b4129ad794b88522bece2281a7453aee4 - Cache cpuinfo/cci.20201217:8c20b6aaec30a71757f41b144bb06172b757af1c - Cache eigen/3.4.0:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache farmhash/cci.20190513:1a651c5b4129ad794b88522bece2281a7453aee4 - Cache fft/cci.20061228:db2ca884c9793e0b0fb54ec3f846326d1addacc8 - Cache flatbuffers/2.0.0:db749d958fc1f5029e424460c00f29ddd26acdcd - Cache gemmlowp/cci.20210928:1a651c5b4129ad794b88522bece2281a7453aee4 - Cache intel-neon2sse/cci.20210225:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Cache ruy/cci.20210622:f276d3bc8d76f6fde0976a3c4a33a561d6e71f19 - Cache tensorflow-lite/2.6.0:fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b - Build Installing (downloading, building) binaries... abseil/20210324.2: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK cpuinfo/cci.20201217: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK eigen/3.4.0: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK farmhash/cci.20190513: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK fft/cci.20061228: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK flatbuffers/2.0.0: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK gemmlowp/cci.20210928: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK intel-neon2sse/cci.20210225: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK ruy/cci.20210622: Already installed! [HOOK - conan-center.py] post_package_info(): [CMAKE FILE NOT IN BUILD FOLDERS (KB-H019)] OK [HOOK - conan-center.py] post_package_info(): [LIBRARY DOES NOT EXIST (KB-H054)] OK tensorflow-lite/2.6.0: Copying sources to build folder tensorflow-lite/2.6.0: Building your package in /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b tensorflow-lite/2.6.0: Generator cmake_find_package created Findabsl.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindEigen3.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfarmhash.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findfft.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindFlatbuffers.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findgemmlowp.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created FindNEON_2_SSE.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findruy.cmake tensorflow-lite/2.6.0: Generator cmake_find_package created Findcpuinfo.cmake tensorflow-lite/2.6.0: Generator cmake created conanbuildinfo.cmake tensorflow-lite/2.6.0: Aggregating env generators [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK. 'fPIC' option found and apparently well managed [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK tensorflow-lite/2.6.0: Calling build() ----Running------ > cd '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/build_subfolder' && cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE="Debug" -DCONAN_IN_LOCAL_CACHE="ON" -DCONAN_COMPILER="gcc" -DCONAN_COMPILER_VERSION="7" -DCONAN_CXX_FLAGS="-m64" -DCONAN_SHARED_LINKER_FLAGS="-m64" -DCONAN_C_FLAGS="-m64" -DCONAN_LIBCXX="libstdc++11" -DBUILD_SHARED_LIBS="OFF" -DCMAKE_INSTALL_PREFIX="/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/package/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b" -DCMAKE_INSTALL_BINDIR="bin" -DCMAKE_INSTALL_SBINDIR="bin" -DCMAKE_INSTALL_LIBEXECDIR="bin" -DCMAKE_INSTALL_LIBDIR="lib" -DCMAKE_INSTALL_INCLUDEDIR="include" -DCMAKE_INSTALL_OLDINCLUDEDIR="include" -DCMAKE_INSTALL_DATAROOTDIR="share" -DCONAN_CMAKE_POSITION_INDEPENDENT_CODE="ON" -DCMAKE_MODULE_PATH="/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b" -DCMAKE_EXPORT_NO_PACKAGE_REGISTRY="ON" -DCONAN_EXPORTED="1" -DTFLITE_ENABLE_RUY="False" -DTFLITE_ENABLE_NNAPI="False" -DTFLITE_ENABLE_GPU="False" -DTFLITE_ENABLE_XNNPACK="False" -DTFLITE_ENABLE_MMAP="True" -Wno-dev '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b' ----------------- -- The C compiler identification is GNU 7.2.0 -- The CXX compiler identification is GNU 7.2.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/bin/gcc - 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/g++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Conan: called by CMake conan helper -- Conan: called inside local cache -- Conan: Adjusting output directories -- Conan: Using cmake global configuration -- Conan: Adjusting default RPATHs Conan policies -- Conan: Adjusting language standard -- Conan: Adjusting fPIC flag (ON) -- Conan: Compiler GCC>=5, checking major version 7 -- Conan: Checking correct version: 7 -- Conan: C++ stdlib: libstdc++11 -- Conan: Using autogenerated Findabsl.cmake -- Found absl: 20210324.2 (found version "20210324.2") -- Library absl_periodic_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_periodic_sampler.a -- Library absl_scoped_set_env found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_scoped_set_env.a -- Library absl_strerror found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strerror.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strerror.a -- Library absl_failure_signal_handler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_failure_signal_handler.a -- Library absl_examine_stack found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_examine_stack.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_examine_stack.a -- Library absl_leak_check_disable found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check_disable.a -- Library absl_leak_check found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check.a -- Library absl_flags_parse found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_parse.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_parse.a -- Library absl_flags_usage found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage.a -- Library absl_flags_usage_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage_internal.a -- Library absl_flags found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags.a -- Library absl_flags_reflection found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_reflection.a -- Library absl_raw_hash_set found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_hash_set.a -- Library absl_hashtablez_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hashtablez_sampler.a -- Library absl_exponential_biased found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_exponential_biased.a -- Library absl_flags_private_handle_accessor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_private_handle_accessor.a -- Library absl_flags_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_internal.a -- Library absl_flags_config found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_config.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_config.a -- Library absl_flags_program_name found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_program_name.a -- Library absl_flags_marshalling found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_marshalling.a -- Library absl_flags_commandlineflag found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_hash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hash.a -- Library absl_city found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_city.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_city.a -- Library absl_wyhash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_wyhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_wyhash.a -- Library absl_random_distributions found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_distributions.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_distributions.a -- Library absl_random_seed_sequences found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_sequences.a -- Library absl_random_internal_pool_urbg found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_gen_exception found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_seed_material found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_seed_material.a -- Library absl_random_internal_randen found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_randen_slow found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_platform found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_statusor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_statusor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_statusor.a -- Library absl_status found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_status.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_status.a -- Library absl_str_format_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_str_format_internal.a -- Library absl_cord found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_cord.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_cord.a -- Library absl_synchronization found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_synchronization.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_synchronization.a -- Library absl_stacktrace found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_stacktrace.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_stacktrace.a -- Library absl_symbolize found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_symbolize.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_symbolize.a -- Library absl_debugging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_debugging_internal.a -- Library absl_demangle_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_demangle_internal.a -- Library absl_graphcycles_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_graphcycles_internal.a -- Library absl_malloc_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_malloc_internal.a -- Library absl_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time.a -- Library absl_strings found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings.a -- Library absl_int128 found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_int128.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_int128.a -- Library absl_strings_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings_internal.a -- Library absl_base found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_base.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_base.a -- Library absl_spinlock_wait found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_spinlock_wait.a -- Library absl_civil_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_civil_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_civil_time.a -- Library absl_time_zone found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time_zone.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time_zone.a -- Library absl_bad_any_cast_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_any_cast_impl.a -- Library absl_throw_delegate found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_throw_delegate.a -- Library absl_bad_optional_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_optional_access.a -- Library absl_bad_variant_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_variant_access.a -- Library absl_raw_logging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_logging_internal.a -- Library absl_log_severity found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_log_severity.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_log_severity.a -- Library absl_log_severity found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_log_severity.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_log_severity.a -- Library absl_raw_logging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_logging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_logging_internal.a -- Library absl_bad_variant_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_variant_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_variant_access.a -- Library absl_bad_optional_access found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_optional_access.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_optional_access.a -- Library absl_throw_delegate found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_throw_delegate.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_throw_delegate.a -- Library absl_bad_any_cast_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_any_cast_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_bad_any_cast_impl.a -- Library absl_time_zone found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time_zone.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time_zone.a -- Library absl_civil_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_civil_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_civil_time.a -- Library absl_spinlock_wait found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_spinlock_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_spinlock_wait.a -- Library absl_base found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_base.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_base.a -- Library absl_strings_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings_internal.a -- Library absl_int128 found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_int128.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_int128.a -- Library absl_strings found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strings.a -- Library absl_time found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_time.a -- Library absl_malloc_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_malloc_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_malloc_internal.a -- Library absl_graphcycles_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_graphcycles_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_graphcycles_internal.a -- Library absl_demangle_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_demangle_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_demangle_internal.a -- Library absl_debugging_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_debugging_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_debugging_internal.a -- Library absl_symbolize found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_symbolize.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_symbolize.a -- Library absl_stacktrace found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_stacktrace.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_stacktrace.a -- Library absl_synchronization found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_synchronization.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_synchronization.a -- Library absl_cord found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_cord.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_cord.a -- Library absl_str_format_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_str_format_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_str_format_internal.a -- Library absl_status found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_status.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_status.a -- Library absl_statusor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_statusor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_statusor.a -- Library absl_random_internal_distribution_test_util found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_distribution_test_util.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_distribution_test_util.a -- Library absl_random_internal_platform found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_platform.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_platform.a -- Library absl_random_internal_randen_hwaes_impl found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes_impl.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes_impl.a -- Library absl_random_internal_randen_hwaes found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_hwaes.a -- Library absl_random_internal_randen_slow found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_slow.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen_slow.a -- Library absl_random_internal_randen found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_randen.a -- Library absl_random_internal_seed_material found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_seed_material.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_seed_material.a -- Library absl_random_seed_gen_exception found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_gen_exception.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_gen_exception.a -- Library absl_random_internal_pool_urbg found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_pool_urbg.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_internal_pool_urbg.a -- Library absl_random_seed_sequences found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_sequences.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_seed_sequences.a -- Library absl_random_distributions found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_distributions.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_random_distributions.a -- Library absl_wyhash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_wyhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_wyhash.a -- Library absl_city found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_city.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_city.a -- Library absl_hash found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hash.a -- Library absl_flags_commandlineflag_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag_internal.a -- Library absl_flags_commandlineflag found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_commandlineflag.a -- Library absl_flags_marshalling found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_marshalling.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_marshalling.a -- Library absl_flags_program_name found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_program_name.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_program_name.a -- Library absl_flags_config found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_config.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_config.a -- Library absl_flags_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_internal.a -- Library absl_flags_private_handle_accessor found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_private_handle_accessor.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_private_handle_accessor.a -- Library absl_exponential_biased found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_exponential_biased.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_exponential_biased.a -- Library absl_hashtablez_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hashtablez_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_hashtablez_sampler.a -- Library absl_raw_hash_set found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_hash_set.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_raw_hash_set.a -- Library absl_flags_reflection found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_reflection.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_reflection.a -- Library absl_flags found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags.a -- Library absl_flags_usage_internal found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage_internal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage_internal.a -- Library absl_flags_usage found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_usage.a -- Library absl_flags_parse found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_parse.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_flags_parse.a -- Library absl_leak_check found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check.a -- Library absl_leak_check_disable found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check_disable.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_leak_check_disable.a -- Library absl_examine_stack found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_examine_stack.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_examine_stack.a -- Library absl_failure_signal_handler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_failure_signal_handler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_failure_signal_handler.a -- Library absl_strerror found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strerror.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_strerror.a -- Library absl_scoped_set_env found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_scoped_set_env.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_scoped_set_env.a -- Library absl_periodic_sampler found /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_periodic_sampler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/abseil/20210324.2/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libabsl_periodic_sampler.a -- Conan: Using autogenerated FindEigen3.cmake -- Found Eigen3: 3.4.0 (found version "3.4.0") -- Conan: Using autogenerated Findfarmhash.cmake -- Found farmhash: cci.20190513 (found version "cci.20190513") -- Library farmhash found /home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libfarmhash.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/farmhash/cci.20190513/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libfarmhash.a -- Conan: Using autogenerated Findfft.cmake -- Found fft: cci.20061228 (found version "cci.20061228") -- Library fft found /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/db2ca884c9793e0b0fb54ec3f846326d1addacc8/lib/libfft.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/fft/cci.20061228/_/_/package/db2ca884c9793e0b0fb54ec3f846326d1addacc8/lib/libfft.a -- Conan: Using autogenerated FindFlatbuffers.cmake -- Found Flatbuffers: 2.0.0 (found version "2.0.0") -- Library flatbuffers found /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/db749d958fc1f5029e424460c00f29ddd26acdcd/lib/libflatbuffers.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/db749d958fc1f5029e424460c00f29ddd26acdcd/lib/libflatbuffers.a -- Library flatbuffers found /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/db749d958fc1f5029e424460c00f29ddd26acdcd/lib/libflatbuffers.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/flatbuffers/2.0.0/_/_/package/db749d958fc1f5029e424460c00f29ddd26acdcd/lib/libflatbuffers.a -- Conan: Using autogenerated Findgemmlowp.cmake -- Found gemmlowp: cci.20210928 (found version "cci.20210928") -- Library eight_bit_int_gemm found /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libeight_bit_int_gemm.so -- Found: /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libeight_bit_int_gemm.so -- Library eight_bit_int_gemm found /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libeight_bit_int_gemm.so -- Found: /home/conan/w/BuildSingleReference/.conan/data/gemmlowp/cci.20210928/_/_/package/1a651c5b4129ad794b88522bece2281a7453aee4/lib/libeight_bit_int_gemm.so -- Conan: Using autogenerated FindNEON_2_SSE.cmake -- Found NEON_2_SSE: cci.20210225 (found version "cci.20210225") -- Conan: Using autogenerated Findruy.cmake -- Found ruy: cci.20210622 (found version "cci.20210622") -- Library ruy_frontend found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_frontend.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_frontend.a -- Library ruy_context found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_context.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_context.a -- Library ruy_trmul found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_trmul.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_trmul.a -- Library ruy_thread_pool found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_thread_pool.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_thread_pool.a -- Library ruy_blocking_counter found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_blocking_counter.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_blocking_counter.a -- Library ruy_prepare_packed_matrices found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_prepare_packed_matrices.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_prepare_packed_matrices.a -- Library ruy_ctx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_ctx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_ctx.a -- Library ruy_allocator found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_allocator.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_allocator.a -- Library ruy_prepacked_cache found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_prepacked_cache.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_prepacked_cache.a -- Library ruy_tune found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_tune.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_tune.a -- Library ruy_wait found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_wait.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_wait.a -- Library ruy_apply_multiplier found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_apply_multiplier.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_apply_multiplier.a -- Library ruy_block_map found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_block_map.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_block_map.a -- Library ruy_context_get_ctx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_context_get_ctx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_context_get_ctx.a -- Library ruy_cpuinfo found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_cpuinfo.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_cpuinfo.a -- Library ruy_denormal found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_denormal.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_denormal.a -- Library ruy_have_built_path_for_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx.a -- Library ruy_have_built_path_for_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx2_fma.a -- Library ruy_have_built_path_for_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_have_built_path_for_avx512.a -- Library ruy_kernel_arm found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_arm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_arm.a -- Library ruy_kernel_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx.a -- Library ruy_kernel_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx2_fma.a -- Library ruy_kernel_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_kernel_avx512.a -- Library ruy_pack_arm found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_arm.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_arm.a -- Library ruy_pack_avx found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx.a -- Library ruy_pack_avx2_fma found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx2_fma.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx2_fma.a -- Library ruy_pack_avx512 found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx512.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_pack_avx512.a -- Library ruy_system_aligned_alloc found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_system_aligned_alloc.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_system_aligned_alloc.a -- Library ruy_profiler_instrumentation found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_profiler_instrumentation.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_profiler_instrumentation.a -- Library ruy_profiler_profiler found /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_profiler_profiler.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/ruy/cci.20210622/_/_/package/f276d3bc8d76f6fde0976a3c4a33a561d6e71f19/lib/libruy_profiler_profiler.a -- Conan: Using autogenerated Findcpuinfo.cmake -- Found cpuinfo: cci.20201217 (found version "cci.20201217") -- Library cpuinfo found /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8c20b6aaec30a71757f41b144bb06172b757af1c/lib/libcpuinfo.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8c20b6aaec30a71757f41b144bb06172b757af1c/lib/libcpuinfo.a -- Library clog found /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8c20b6aaec30a71757f41b144bb06172b757af1c/lib/libclog.a -- Found: /home/conan/w/BuildSingleReference/.conan/data/cpuinfo/cci.20201217/_/_/package/8c20b6aaec30a71757f41b144bb06172b757af1c/lib/libclog.a -- Configuring done -- Generating done -- Build files have been written to: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/build_subfolder ----Running------ > cmake --build '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/build_subfolder' '--' '-j3' 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source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/segment_sum.cc.o source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/build.make:1654: recipe for target 'source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/scatter_nd.cc.o' failed source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/build.make:1667: recipe for target 'source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/segment_sum.cc.o' failed source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/build.make:1641: recipe for target 'source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o' failed CMakeFiles/Makefile2:181: recipe for target 'source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/all' failed Makefile:102: recipe for target 'all' failed tensorflow-lite/2.6.0: CMake Warning: Manually-specified variables were not used by the project: CMAKE_EXPORT_NO_PACKAGE_REGISTRY CMAKE_INSTALL_BINDIR CMAKE_INSTALL_DATAROOTDIR CMAKE_INSTALL_INCLUDEDIR CMAKE_INSTALL_LIBDIR CMAKE_INSTALL_LIBEXECDIR CMAKE_INSTALL_OLDINCLUDEDIR CMAKE_INSTALL_SBINDIR In file included from /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43:0, from /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:31, from /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/conv.cc:37: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:723:7: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalProductSequential(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::evalProductImpl(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Scalar*, DoneCallback) const [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Scalar = float]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemm(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:723:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:26: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::signal_switch(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1141:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1181:40: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1206:36: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] PacketBlock kernel; ^~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:11: required from ‘void EigenForTFLite::TensorContractionEvaluatorBase::evalGemmPartial(EigenForTFLite::TensorContractionEvaluatorBase::Scalar*, EigenForTFLite::TensorContractionEvaluatorBase::Index, EigenForTFLite::TensorContractionEvaluatorBase::Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>; EigenForTFLite::TensorContractionEvaluatorBase::Scalar = float; EigenForTFLite::TensorContractionEvaluatorBase::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:784:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::enqueue_packing_helper(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, bool) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:494:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = true; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = true; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, true, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketFast(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:501:28: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:581:17: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const Index packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h: In instantiation of ‘EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::packetWithPossibleZero(Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’: /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:522:34: required from ‘typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type EigenForTFLite::internal::TensorContractionInputMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index, Index, Index, Index) const [with PacketT = __vector(4) float; TensorEvaluatorT = const EigenForTFLite::TensorEvaluator, 16>, EigenForTFLite::ThreadPoolDevice>; NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar_ = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; typename std::enable_if<(! EigenForTFLite::internal::TensorEvaluatorHasPartialPacket::value), PacketT>::type = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:770:65: required from ‘EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::loadPacketStandard(Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int Side = 0; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; EigenForTFLite::internal::TensorContractionSubMapper >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>::Packet = __vector(4) float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:1207:30: required from ‘void EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) const [with NewDimension = const EigenForTFLite::DSizes; long int Rows = -1; long int Cols = -1; ArgType = const EigenForTFLite::TensorMap, 16>; Device = EigenForTFLite::ThreadPoolDevice; Scalar = float; Index = long int; nocontract_t = std::array; contract_t = std::array; int packet_size = 4; bool inner_dim_contiguous = false; bool inner_dim_reordered = false; int Alignment = 0; int nr = 4; EigenForTFLite::internal::gemm_pack_rhs >, Device>, nocontract_t, contract_t, packet_size, inner_dim_contiguous, inner_dim_reordered, Alignment>, nr, 0, false, false>::DataMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void EigenForTFLite::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = float; LhsScalar = float; RhsScalar = float; StorageIndex = long int; OutputMapper = EigenForTFLite::internal::blas_data_mapper; LhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorMap, 16> >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, true, false, 0, EigenForTFLite::MakePointer>; RhsMapper = EigenForTFLite::internal::TensorContractionInputMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>; EigenForTFLite::internal::TensorContractionKernel::RhsBlock = float*; typename RhsMapper::SubMapper = EigenForTFLite::internal::TensorContractionSubMapper, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, EigenForTFLite::ThreadPoolDevice>, std::array, std::array, 4, false, false, 0, EigenForTFLite::MakePointer>]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:9: required from ‘void EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::EvalParallelContext::pack_rhs(EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index, EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index) [with DoneCallback = EigenForTFLite::TensorEvaluator, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>, EigenForTFLite::ThreadPoolDevice>::NoCallback; bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >; OutputKernelType = const EigenForTFLite::NoOpOutputKernel; EigenForTFLite::TensorEvaluator, EigenForTFLite::ThreadPoolDevice>::Index = long int]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:19: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:44: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with NewDimensions = const EigenForTFLite::DSizes; ArgType = const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel>; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:62: required from ‘bool EigenForTFLite::TensorEvaluator, Device>::evalSubExprsIfNeeded(EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType) [with LeftArgType = EigenForTFLite::TensorMap, 16>; RightArgType = const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; Device = EigenForTFLite::ThreadPoolDevice; EigenForTFLite::TensorEvaluator, Device>::EvaluatorPointerType = float*]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:16: required from ‘static void EigenForTFLite::internal::TensorExecutor::run(const Expression&, const EigenForTFLite::ThreadPoolDevice&) [with Expression = const EigenForTFLite::TensorAssignOp, 16>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> > >; bool Vectorizable = true; EigenForTFLite::internal::TiledEvaluation Tiling = (EigenForTFLite::internal::TiledEvaluation)0]’ /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘EigenForTFLite::TensorDevice& EigenForTFLite::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorContractionOp, 1>, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorImagePatchOp<-1, -1, const EigenForTFLite::TensorMap, 16> > >, const EigenForTFLite::TensorReshapingOp, const EigenForTFLite::TensorMap, 16> >, const EigenForTFLite::NoOpOutputKernel> >; ExpressionType = EigenForTFLite::TensorMap, 16>; DeviceType = EigenForTFLite::ThreadPoolDevice]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:128:29: required from ‘void tflite::multithreaded_ops::EigenTensorConvFunctor::operator()(const EigenForTFLite::ThreadPoolDevice&, const T*, int, int, int, int, const T*, int, int, int, int, int, int, int, tflite::PaddingType, T*, int, int) [with T = float]’ /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:173:65: required from here /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/source_subfolder/tensorflow/core/kernels/eigen_spatial_convolutions-inl.h:609:15: warning: ignoring attributes on template argument ‘EigenForTFLite::internal::packet_traits::type {aka __vector(4) float}’ [-Wignored-attributes] const int packetSize = internal::unpacket_traits::size; ^~~~~~~~~~ g++: internal compiler error: Terminated (program cc1plus) Please submit a full bug report, with preprocessed source if appropriate. See for instructions. make[2]: *** [source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/scatter_nd.cc.o] Error 4 make[2]: *** Waiting for unfinished jobs.... g++: internal compiler error: Terminated (program cc1plus) Please submit a full bug report, with preprocessed source if appropriate. See for instructions. make[2]: *** [source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/segment_sum.cc.o] Error 4 g++: internal compiler error: Terminated (program cc1plus) Please submit a full bug report, with preprocessed source if appropriate. See for instructions. make[2]: *** [source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/kernels/round.cc.o] Error 4 make[1]: *** [source_subfolder/tensorflow/lite/CMakeFiles/tensorflow-lite.dir/all] Error 2 make: *** [all] Error 2 eigen/3.4.0: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib eigen/3.4.0: WARN: Lib folder doesn't exist, can't collect libraries: /home/conan/w/BuildSingleReference/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/lib tensorflow-lite/2.6.0: ERROR: Package 'fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b' build failed tensorflow-lite/2.6.0: WARN: Build folder /home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b ERROR: tensorflow-lite/2.6.0: Error in build() method, line 73 cmake.build() ConanException: Error 2 while executing cmake --build '/home/conan/w/BuildSingleReference/.conan/data/tensorflow-lite/2.6.0/_/_/build/fb8107bc1de2d98e03e3e0edf2dc8a4a2ad2da7b/build_subfolder' '--' '-j3' Terminated