******************************************************************************** conan install tensorflow-lite/2.12.0@#1e406fa31c00a85237e1d69ed0ffadc2 --build=tensorflow-lite -pr /home/conan/workspace/prod-v1/bsr/3041/adead/profile_linux_11_libstdcpp11_gcc_release_64.tensorflow-lite-shared-True.txt -c tools.system.package_manager:mode=install -c tools.system.package_manager:sudo=True ******************************************************************************** Conan 1 is on a deprecation path, please consider migrating to Conan 2 Auto detecting your dev setup to initialize the default profile (/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/profiles/default) Found gcc 11.4 gcc>=5, using the major as version ************************* WARNING: GCC OLD ABI COMPATIBILITY *********************** Conan detected a GCC version > 5 but has adjusted the 'compiler.libcxx' setting to 'libstdc++' for backwards compatibility. Your compiler is likely using the new CXX11 ABI by default (libstdc++11). If you want Conan to use the new ABI for the default profile, run: $ conan profile update settings.compiler.libcxx=libstdc++11 default Or edit '/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/profiles/default' and set compiler.libcxx=libstdc++11 ************************************************************************************ Default settings os=Linux os_build=Linux arch=x86_64 arch_build=x86_64 compiler=gcc compiler.version=11 compiler.libcxx=libstdc++ build_type=Release *** You can change them in /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/profiles/default *** *** Or override with -s compiler='other' -s ...s*** Configuration: [settings] arch=x86_64 build_type=Release compiler=gcc compiler.libcxx=libstdc++11 compiler.version=11 os=Linux [options] tensorflow-lite:shared=True [build_requires] [env] [conf] tools.system.package_manager:mode=install tools.system.package_manager:sudo=True abseil/20230125.3: Not found in local cache, looking in remotes... abseil/20230125.3: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz abseil/20230125.3: Downloaded recipe revision 207b0d386ea564ac506dfe34e4cd6b55 eigen/3.4.0: Not found in local cache, looking in remotes... eigen/3.4.0: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz eigen/3.4.0: Downloaded recipe revision 2e192482a8acff96fe34766adca2b24c farmhash/cci.20190513: Not found in local cache, looking in remotes... farmhash/cci.20190513: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz farmhash/cci.20190513: Downloaded recipe revision af6593f545dd2b496e6bd019f1deb66f fft/cci.20061228: Not found in local cache, looking in remotes... fft/cci.20061228: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fft/cci.20061228: Downloaded recipe revision 76a056c8ad3656ad557071c230f0f50c flatbuffers/23.3.3: Not found in local cache, looking in remotes... flatbuffers/23.3.3: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz flatbuffers/23.3.3: Downloaded recipe revision 9ae28c67104fca222622513355755d3e gemmlowp/cci.20210928: Not found in local cache, looking in remotes... gemmlowp/cci.20210928: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz gemmlowp/cci.20210928: Downloaded recipe revision 28483fa833aa47549961bb9c5ab84bfa ruy/cci.20220628: Not found in local cache, looking in remotes... ruy/cci.20220628: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz ruy/cci.20220628: Downloaded recipe revision 81a2ef59e9f38e838fbcb8bf8246133c cpuinfo/cci.20231129: Not found in local cache, looking in remotes... cpuinfo/cci.20231129: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz cpuinfo/cci.20231129: Downloaded recipe revision 306f0c2325f566b37835fdea3af1cc2d intel-neon2sse/cci.20210225: Not found in local cache, looking in remotes... intel-neon2sse/cci.20210225: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz intel-neon2sse/cci.20210225: Downloaded recipe revision 56e8b51d756e9ae2a612e3489039e07b xnnpack/cci.20231026: Not found in local cache, looking in remotes... xnnpack/cci.20231026: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz xnnpack/cci.20231026: Downloaded recipe revision 20bfc7ccd2bd2dcfcf3ea76446fb5b6a fp16/cci.20210320: Not found in local cache, looking in remotes... fp16/cci.20210320: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fp16/cci.20210320: Downloaded recipe revision 34dbac7f6fa3dee68830028b53de6c84 psimd/cci.20200517: Not found in local cache, looking in remotes... psimd/cci.20200517: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz psimd/cci.20200517: Downloaded recipe revision 83200a06ebb1ff39c5adff0d712c05fa pthreadpool/cci.20231129: Not found in local cache, looking in remotes... pthreadpool/cci.20231129: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz pthreadpool/cci.20231129: Downloaded recipe revision c721f98463f06cc5bf835df5d6fd9843 fxdiv/cci.20200417: Not found in local cache, looking in remotes... fxdiv/cci.20200417: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz fxdiv/cci.20200417: Downloaded recipe revision 0b3afe4c9d1b8d05f5f017984c8cb15a tensorflow-lite/2.12.0: Forced build from source cmake/3.28.1: Not found in local cache, looking in remotes... cmake/3.28.1: Trying with 'conan-center'... Downloading conanmanifest.txt Downloading conanfile.py Downloading conan_export.tgz cmake/3.28.1: Downloaded recipe revision 92f79424d7b65b12a84a2180866c3a78 Version ranges solved cmake/* versions found in 'conan-center' remote Version range '>=3.16 <4' required by 'tensorflow-lite/2.12.0' resolved to 'cmake/3.28.1' in remote 'conan-center' Installing package: tensorflow-lite/2.12.0 Requirements abseil/20230125.3 from 'conan-center' - Downloaded cpuinfo/cci.20231129 from 'conan-center' - Downloaded eigen/3.4.0 from 'conan-center' - Downloaded farmhash/cci.20190513 from 'conan-center' - Downloaded fft/cci.20061228 from 'conan-center' - Downloaded flatbuffers/23.3.3 from 'conan-center' - Downloaded fp16/cci.20210320 from 'conan-center' - Downloaded fxdiv/cci.20200417 from 'conan-center' - Downloaded gemmlowp/cci.20210928 from 'conan-center' - Downloaded intel-neon2sse/cci.20210225 from 'conan-center' - Downloaded psimd/cci.20200517 from 'conan-center' - Downloaded pthreadpool/cci.20231129 from 'conan-center' - Downloaded ruy/cci.20220628 from 'conan-center' - Downloaded tensorflow-lite/2.12.0 from local cache - Cache xnnpack/cci.20231026 from 'conan-center' - Downloaded Packages abseil/20230125.3:6557f18ca99c0b6a233f43db00e30efaa525e27e - Download cpuinfo/cci.20231129:73680b896b1c4900d85d9aac57753bd7a8a888f4 - Download eigen/3.4.0:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download farmhash/cci.20190513:6557f18ca99c0b6a233f43db00e30efaa525e27e - Download fft/cci.20061228:dfbe50feef7f3c6223a476cd5aeadb687084a646 - Download flatbuffers/23.3.3:6557f18ca99c0b6a233f43db00e30efaa525e27e - Download fp16/cci.20210320:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download fxdiv/cci.20200417:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download gemmlowp/cci.20210928:6557f18ca99c0b6a233f43db00e30efaa525e27e - Download intel-neon2sse/cci.20210225:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download psimd/cci.20200517:5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 - Download pthreadpool/cci.20231129:605b2d0f1c46626ebc122523742b8c6737608455 - Download ruy/cci.20220628:15effabc27809a70454149d07cc2aaa240024dc7 - Download tensorflow-lite/2.12.0:4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32 - Build xnnpack/cci.20231026:1ff127a63df53dfaf5c8febdf9ad1d4e4a3cfb7e - Download Build requirements cmake/3.28.1 from 'conan-center' - Downloaded Build requirements packages cmake/3.28.1:4db1be536558d833e52e862fd84d64d75c2b3656 - Download Installing (downloading, building) binaries... abseil/20230125.3: Retrieving package 6557f18ca99c0b6a233f43db00e30efaa525e27e from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz abseil/20230125.3: Package installed 6557f18ca99c0b6a233f43db00e30efaa525e27e abseil/20230125.3: Downloaded package revision 58466669c36dad99d9fd02a755a4c525 cmake/3.28.1: Retrieving package 4db1be536558d833e52e862fd84d64d75c2b3656 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz cmake/3.28.1: Package installed 4db1be536558d833e52e862fd84d64d75c2b3656 cmake/3.28.1: Downloaded package revision f5d30101abea2fb352f6412ec059d314 cpuinfo/cci.20231129: Retrieving package 73680b896b1c4900d85d9aac57753bd7a8a888f4 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz cpuinfo/cci.20231129: Package installed 73680b896b1c4900d85d9aac57753bd7a8a888f4 cpuinfo/cci.20231129: Downloaded package revision 8338050fc99ce1f4f68d07e9ba967b81 eigen/3.4.0: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz eigen/3.4.0: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 eigen/3.4.0: Downloaded package revision 9d6f4a4fde6449a6bde138d645294eca farmhash/cci.20190513: Retrieving package 6557f18ca99c0b6a233f43db00e30efaa525e27e from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz farmhash/cci.20190513: Package installed 6557f18ca99c0b6a233f43db00e30efaa525e27e farmhash/cci.20190513: Downloaded package revision 1aca167e8b3c4644a821d1bd22a442b7 fft/cci.20061228: Retrieving package dfbe50feef7f3c6223a476cd5aeadb687084a646 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fft/cci.20061228: Package installed dfbe50feef7f3c6223a476cd5aeadb687084a646 fft/cci.20061228: Downloaded package revision d90f97eec6d17a1e10dec3b9493f6754 flatbuffers/23.3.3: Retrieving package 6557f18ca99c0b6a233f43db00e30efaa525e27e from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz flatbuffers/23.3.3: Package installed 6557f18ca99c0b6a233f43db00e30efaa525e27e flatbuffers/23.3.3: Downloaded package revision 6f2313458bbdb46bf55761a6c54ee54e fxdiv/cci.20200417: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fxdiv/cci.20200417: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 fxdiv/cci.20200417: Downloaded package revision 57cd28ecf4c9a87bacbbfaa5992eab15 gemmlowp/cci.20210928: Retrieving package 6557f18ca99c0b6a233f43db00e30efaa525e27e from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz gemmlowp/cci.20210928: Package installed 6557f18ca99c0b6a233f43db00e30efaa525e27e gemmlowp/cci.20210928: Downloaded package revision aae87bea1a08c44289a4a82d7881eb1d intel-neon2sse/cci.20210225: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz intel-neon2sse/cci.20210225: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 intel-neon2sse/cci.20210225: Downloaded package revision 198278b9afd71da889f6b15b51985a7a psimd/cci.20200517: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz psimd/cci.20200517: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 psimd/cci.20200517: Downloaded package revision e24323a94d91d20b7d7666ed0bf2df2c fp16/cci.20210320: Retrieving package 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz fp16/cci.20210320: Package installed 5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9 fp16/cci.20210320: Downloaded package revision caab05822de163dea1bb0bc250e3586b pthreadpool/cci.20231129: Retrieving package 605b2d0f1c46626ebc122523742b8c6737608455 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz pthreadpool/cci.20231129: Package installed 605b2d0f1c46626ebc122523742b8c6737608455 pthreadpool/cci.20231129: Downloaded package revision c23112db3a2dedbc8775063e538f81ff ruy/cci.20220628: Retrieving package 15effabc27809a70454149d07cc2aaa240024dc7 from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz ruy/cci.20220628: Package installed 15effabc27809a70454149d07cc2aaa240024dc7 ruy/cci.20220628: Downloaded package revision 9cf6d741b538e70acb6f6018449a3001 xnnpack/cci.20231026: Retrieving package 1ff127a63df53dfaf5c8febdf9ad1d4e4a3cfb7e from remote 'conan-center' Downloading conanmanifest.txt Downloading conaninfo.txt Downloading conan_package.tgz xnnpack/cci.20231026: Package installed 1ff127a63df53dfaf5c8febdf9ad1d4e4a3cfb7e xnnpack/cci.20231026: Downloaded package revision 746840bfe394fa45f2b11916dd7460df cmake/3.28.1: Appending PATH environment variable: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/cmake/3.28.1/_/_/package/4db1be536558d833e52e862fd84d64d75c2b3656/bin tensorflow-lite/2.12.0: Applying build-requirement: cmake/3.28.1 [HOOK - conan-center.py] pre_source(): [IMMUTABLE SOURCES (KB-H010)] OK tensorflow-lite/2.12.0: Configuring sources in /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/source/src tensorflow-lite/2.12.0: [HOOK - conan-center.py] post_source(): [LIBCXX MANAGEMENT (KB-H011)] OK [HOOK - conan-center.py] post_source(): [CPPSTD MANAGEMENT (KB-H022)] OK [HOOK - conan-center.py] post_source(): [SHORT_PATHS USAGE (KB-H066)] OK tensorflow-lite/2.12.0: Copying sources to build folder tensorflow-lite/2.12.0: Building your package in /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32 tensorflow-lite/2.12.0: Generator txt created conanbuildinfo.txt tensorflow-lite/2.12.0: Calling generate() tensorflow-lite/2.12.0: Preset 'release' added to CMakePresets.json. Invoke it manually using 'cmake --preset release' tensorflow-lite/2.12.0: If your CMake version is not compatible with CMakePresets (<3.19) call cmake like: 'cmake -G "Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE=/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conan_toolchain.cmake -DCMAKE_POLICY_DEFAULT_CMP0091=NEW -DCMAKE_BUILD_TYPE=Release' tensorflow-lite/2.12.0: Aggregating env generators [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] 'fPIC' option not found [HOOK - conan-center.py] pre_build(): [FPIC MANAGEMENT (KB-H007)] OK tensorflow-lite/2.12.0: Calling build() tensorflow-lite/2.12.0: Apply patch (conan): Shared build fails on Windows with error LNK2005. Resolve the conflict by removing the conflicting implementation for now. tensorflow-lite/2.12.0: Apply patch (conan): Fail if the CMake build script tries to fetch external dependencies tensorflow-lite/2.12.0: Apply patch (conan): Dependency compatibility: Patch CMakeLists.txt, updating package names, target names, etc tensorflow-lite/2.12.0: CMake command: cmake -G "Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE="/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conan_toolchain.cmake" -DCMAKE_INSTALL_PREFIX="/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/package/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32" -DCMAKE_POLICY_DEFAULT_CMP0091="NEW" -DCMAKE_BUILD_TYPE="Release" "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite" ----Running------ > . "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conanbuild.sh" && cmake -G "Unix Makefiles" -DCMAKE_TOOLCHAIN_FILE="/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conan_toolchain.cmake" -DCMAKE_INSTALL_PREFIX="/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/package/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32" -DCMAKE_POLICY_DEFAULT_CMP0091="NEW" -DCMAKE_BUILD_TYPE="Release" "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite" ----------------- -- Using Conan toolchain: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conan_toolchain.cmake -- Conan toolchain: Setting BUILD_SHARED_LIBS = ON -- The C compiler identification is GNU 11.4.0 -- The CXX compiler identification is GNU 11.4.0 -- Detecting C compiler ABI info -- Detecting C compiler ABI info - done -- Check for working C compiler: /usr/local/bin/cc - skipped -- Detecting C compile features -- Detecting C compile features - done -- Detecting CXX compiler ABI info -- Detecting CXX compiler ABI info - done -- Check for working CXX compiler: /usr/local/bin/c++ - skipped -- Detecting CXX compile features -- Detecting CXX compile features - done -- Conan: Component target declared 'absl::config' -- Conan: Component target declared 'absl::dynamic_annotations' -- Conan: Component target declared 'absl::core_headers' -- Conan: Component target declared 'absl::pretty_function' -- Conan: Component target declared 'absl::fast_type_id' -- Conan: Component target declared 'absl::prefetch' -- Conan: Component target declared 'absl::algorithm' -- Conan: Component target declared 'absl::counting_allocator' -- Conan: Component target declared 'absl::hashtable_debug_hooks' -- Conan: Component target declared 'absl::node_slot_policy' -- Conan: Component target declared 'absl::non_temporal_arm_intrinsics' -- Conan: Component target declared 'absl::non_temporal_memcpy' -- Conan: Component target declared 'absl::leak_check' -- Conan: Component target declared 'absl::flags_commandlineflag_internal' -- Conan: Component target declared 'absl::log_internal_config' -- Conan: Component target declared 'absl::log_internal_nullguard' -- Conan: Component target declared 'absl::log_internal_voidify' -- Conan: Component target declared 'absl::type_traits' -- Conan: Component target declared 'absl::meta' -- Conan: Component target declared 'absl::bits' -- Conan: Component target declared 'absl::int128' -- Conan: Component target declared 'absl::numeric' -- Conan: Component target declared 'absl::numeric_representation' -- Conan: Component target declared 'absl::exponential_biased' -- Conan: Component target declared 'absl::periodic_sampler' -- Conan: Component target declared 'absl::random_seed_gen_exception' -- Conan: Component target declared 'absl::random_internal_traits' -- Conan: Component target declared 'absl::random_internal_fast_uniform_bits' -- Conan: Component target declared 'absl::random_internal_iostream_state_saver' -- Conan: Component target declared 'absl::random_internal_wide_multiply' -- Conan: Component target declared 'absl::random_internal_fastmath' -- Conan: Component target declared 'absl::random_internal_pcg_engine' -- Conan: Component target declared 'absl::random_internal_platform' -- Conan: Component target declared 'absl::random_internal_randen_slow' -- Conan: Component target declared 'absl::random_internal_randen_hwaes_impl' -- Conan: Component target declared 'absl::random_internal_uniform_helper' -- Conan: Component target declared 'absl::cordz_update_tracker' -- Conan: Component target declared 'absl::civil_time' -- Conan: Component target declared 'absl::time_zone' -- Conan: Component target declared 'absl::compare' -- Conan: Component target declared 'absl::atomic_hook' -- Conan: Component target declared 'absl::errno_saver' -- Conan: Component target declared 'absl::log_severity' -- Conan: Component target declared 'absl::raw_logging_internal' -- Conan: Component target declared 'absl::base_internal' -- Conan: Component target declared 'absl::throw_delegate' -- Conan: Component target declared 'absl::scoped_set_env' -- Conan: Component target declared 'absl::strerror' -- Conan: Component target declared 'absl::algorithm_container' -- Conan: Component target declared 'absl::common_policy_traits' -- Conan: Component target declared 'absl::hashtable_debug' -- Conan: Component target declared 'absl::container_common' -- Conan: Component target declared 'absl::debugging_internal' -- Conan: Component target declared 'absl::function_ref' -- Conan: Component target declared 'absl::memory' -- Conan: Component target declared 'absl::random_internal_generate_real' -- Conan: Component target declared 'absl::random_internal_randen_hwaes' -- Conan: Component target declared 'absl::cordz_functions' -- Conan: Component target declared 'absl::bad_any_cast_impl' -- Conan: Component target declared 'absl::span' -- Conan: Component target declared 'absl::bad_optional_access' -- Conan: Component target declared 'absl::bad_variant_access' -- Conan: Component target declared 'absl::utility' -- Conan: Component target declared 'absl::spinlock_wait' -- Conan: Component target declared 'absl::base' -- Conan: Component target declared 'absl::endian' -- Conan: Component target declared 'absl::cleanup_internal' -- Conan: Component target declared 'absl::cleanup' -- Conan: Component target declared 'absl::compressed_tuple' -- Conan: Component target declared 'absl::fixed_array' -- Conan: Component target declared 'absl::inlined_vector_internal' -- Conan: Component target declared 'absl::inlined_vector' -- Conan: Component target declared 'absl::container_memory' -- Conan: Component target declared 'absl::hash_policy_traits' -- Conan: Component target declared 'absl::crc_cpu_detect' -- Conan: Component target declared 'absl::crc_internal' -- Conan: Component target declared 'absl::stacktrace' -- Conan: Component target declared 'absl::demangle_internal' -- Conan: Component target declared 'absl::debugging' -- Conan: Component target declared 'absl::any_invocable' -- Conan: Component target declared 'absl::bind_front' -- Conan: Component target declared 'absl::city' -- Conan: Component target declared 'absl::low_level_hash' -- Conan: Component target declared 'absl::log_internal_conditions' -- Conan: Component target declared 'absl::random_internal_distribution_caller' -- Conan: Component target declared 'absl::random_internal_randen' -- Conan: Component target declared 'absl::strings_internal' -- Conan: Component target declared 'absl::bad_any_cast' -- Conan: Component target declared 'absl::optional' -- Conan: Component target declared 'absl::variant' -- Conan: Component target declared 'absl::malloc_internal' -- Conan: Component target declared 'absl::random_bit_gen_ref' -- Conan: Component target declared 'absl::random_internal_mock_helpers' -- Conan: Component target declared 'absl::random_internal_randen_engine' -- Conan: Component target declared 'absl::strings' -- Conan: Component target declared 'absl::str_format_internal' -- Conan: Component target declared 'absl::graphcycles_internal' -- Conan: Component target declared 'absl::time' -- Conan: Component target declared 'absl::any' -- Conan: Component target declared 'absl::layout' -- Conan: Component target declared 'absl::crc32c' -- Conan: Component target declared 'absl::crc_cord_state' -- Conan: Component target declared 'absl::symbolize' -- Conan: Component target declared 'absl::examine_stack' -- Conan: Component target declared 'absl::failure_signal_handler' -- Conan: Component target declared 'absl::flags_path_util' -- Conan: Component target declared 'absl::flags_commandlineflag' -- Conan: Component target declared 'absl::flags_private_handle_accessor' -- Conan: Component target declared 'absl::hash' -- Conan: Component target declared 'absl::log_internal_globals' -- Conan: Component target declared 'absl::log_internal_proto' -- Conan: Component target declared 'absl::log_internal_nullstream' -- Conan: Component target declared 'absl::log_internal_append_truncated' -- Conan: Component target declared 'absl::log_globals' -- Conan: Component target declared 'absl::log_initialize' -- Conan: Component target declared 'absl::log_entry' -- Conan: Component target declared 'absl::log_sink' -- Conan: Component target declared 'absl::random_distributions' -- Conan: Component target declared 'absl::random_internal_seed_material' -- Conan: Component target declared 'absl::random_internal_pool_urbg' -- Conan: Component target declared 'absl::random_internal_salted_seed_seq' -- Conan: Component target declared 'absl::random_internal_nonsecure_base' -- Conan: Component target declared 'absl::str_format' -- Conan: Component target declared 'absl::cord_internal' -- Conan: Component target declared 'absl::kernel_timeout_internal' -- Conan: Component target declared 'absl::synchronization' -- Conan: Component target declared 'absl::flags_program_name' -- Conan: Component target declared 'absl::flags_config' -- Conan: Component target declared 'absl::flags_marshalling' -- Conan: Component target declared 'absl::flags_internal' -- Conan: Component target declared 'absl::log_internal_format' -- Conan: Component target declared 'absl::log_internal_log_sink_set' -- Conan: Component target declared 'absl::log_sink_registry' -- Conan: Component target declared 'absl::sample_recorder' -- Conan: Component target declared 'absl::random_seed_sequences' -- Conan: Component target declared 'absl::random_internal_distribution_test_util' -- Conan: Component target declared 'absl::cordz_statistics' -- Conan: Component target declared 'absl::cordz_handle' -- Conan: Component target declared 'absl::cordz_info' -- Conan: Component target declared 'absl::cordz_sample_token' -- Conan: Component target declared 'absl::cordz_update_scope' -- Conan: Component target declared 'absl::cord' -- Conan: Component target declared 'absl::btree' -- Conan: Component target declared 'absl::hash_function_defaults' -- Conan: Component target declared 'absl::hashtablez_sampler' -- Conan: Component target declared 'absl::raw_hash_set' -- Conan: Component target declared 'absl::log_internal_message' -- Conan: Component target declared 'absl::log_internal_strip' -- Conan: Component target declared 'absl::log_internal_structured' -- Conan: Component target declared 'absl::log_structured' -- Conan: Component target declared 'absl::random_random' -- Conan: Component target declared 'absl::status' -- Conan: Component target declared 'absl::statusor' -- Conan: Component target declared 'absl::flat_hash_set' -- Conan: Component target declared 'absl::node_hash_set' -- Conan: Component target declared 'absl::raw_hash_map' -- Conan: Component target declared 'absl::log_internal_check_op' -- Conan: Component target declared 'absl::log_internal_log_impl' -- Conan: Component target declared 'absl::absl_log' -- Conan: Component target declared 'absl::log' -- Conan: Component target declared 'absl::log_streamer' -- Conan: Component target declared 'absl::flat_hash_map' -- Conan: Component target declared 'absl::node_hash_map' -- Conan: Component target declared 'absl::flags_reflection' -- Conan: Component target declared 'absl::flags' -- Conan: Component target declared 'absl::flags_usage_internal' -- Conan: Component target declared 'absl::flags_usage' -- Conan: Component target declared 'absl::flags_parse' -- Conan: Component target declared 'absl::log_internal_check_impl' -- Conan: Component target declared 'absl::log_internal_flags' -- Conan: Component target declared 'absl::absl_check' -- Conan: Component target declared 'absl::check' -- Conan: Component target declared 'absl::die_if_null' -- Conan: Component target declared 'absl::log_flags' -- Conan: Target declared 'abseil::abseil' -- Conan: Including build module from '/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/abseil/20230125.3/_/_/package/6557f18ca99c0b6a233f43db00e30efaa525e27e/lib/cmake/conan_trick/cxx_std.cmake' -- Conan: Component target declared 'Eigen3::Eigen' -- Conan: Target declared 'farmhash::farmhash' -- Conan: Target declared 'fft::fft' -- Conan: Component target declared 'flatbuffers::libflatbuffers' -- Conan: Target declared 'flatbuffers::flatbuffers' -- Conan: Including build module from '/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/flatbuffers/23.3.3/_/_/package/6557f18ca99c0b6a233f43db00e30efaa525e27e/lib/cmake/FlatcTargets.cmake' -- Conan: Including build module from '/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/flatbuffers/23.3.3/_/_/package/6557f18ca99c0b6a233f43db00e30efaa525e27e/lib/cmake/BuildFlatBuffers.cmake' -- Conan: Component target declared 'gemmlowp::eight_bit_int_gemm' -- Conan: Target declared 'gemmlowp::gemmlowp' -- Conan: Component target declared 'cpuinfo::cpuinfo' -- Conan: Target declared 'ruy::ruy' -- Downloading pthreadpool to /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-source (define PTHREADPOOL_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-download [ 11%] Creating directories for 'pthreadpool' [ 22%] Performing download step (download, verify and extract) for 'pthreadpool' -- Downloading... dst='/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-download/pthreadpool-prefix/src/545ebe9f225aec6dca49109516fac02e973a3de2.zip' timeout='none' inactivity timeout='none' -- Using src='https://github.com/Maratyszcza/pthreadpool/archive/545ebe9f225aec6dca49109516fac02e973a3de2.zip' -- [download 20% complete] -- [download 62% complete] -- [download 100% complete] -- verifying file... file='/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-download/pthreadpool-prefix/src/545ebe9f225aec6dca49109516fac02e973a3de2.zip' -- Downloading... done -- extracting... src='/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-download/pthreadpool-prefix/src/545ebe9f225aec6dca49109516fac02e973a3de2.zip' dst='/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/pthreadpool-source' -- extracting... [tar xfz] -- extracting... [analysis] -- extracting... [rename] -- extracting... [clean up] -- extracting... done [ 33%] No update step for 'pthreadpool' [ 44%] No patch step for 'pthreadpool' [ 55%] No configure step for 'pthreadpool' [ 66%] No build step for 'pthreadpool' [ 77%] No install step for 'pthreadpool' [ 88%] No test step for 'pthreadpool' [100%] Completed 'pthreadpool' [100%] Built target pthreadpool -- Downloading FXdiv to /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/FXdiv-source (define FXDIV_SOURCE_DIR to avoid it) -- Configuring done (0.0s) -- Generating done (0.0s) -- Build files have been written to: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/FXdiv-download [ 11%] Creating directories for 'fxdiv' [ 22%] Performing download step (git clone) for 'fxdiv' Your branch is up to date with 'origin/master'. [ 33%] Performing update step for 'fxdiv' [ 44%] No patch step for 'fxdiv' [ 55%] No configure step for 'fxdiv' [ 66%] No build step for 'fxdiv' [ 77%] No install step for 'fxdiv' [ 88%] No test step for 'fxdiv' [100%] Completed 'fxdiv' [100%] Built target fxdiv -- Performing Test CMAKE_HAVE_LIBC_PTHREAD -- Performing Test CMAKE_HAVE_LIBC_PTHREAD - Failed -- Looking for pthread_create in pthreads -- Looking for pthread_create in pthreads - not found -- Looking for pthread_create in pthread -- Looking for pthread_create in pthread - found -- Found Threads: TRUE -- Conan: Target declared 'NEON_2_SSE::NEON_2_SSE' -- Conan: Target declared 'xnnpack::xnnpack' -- Conan: Target declared 'fp16::fp16' -- Conan: Target declared 'psimd::psimd' -- Conan: Target declared 'pthreadpool::pthreadpool' -- Conan: Target declared 'fxdiv::fxdiv' -- Configuring done (3.1s) -- Generating done (0.1s) -- Build files have been written to: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release tensorflow-lite/2.12.0: CMake command: cmake --build "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release" '--' '-j3' ----Running------ > . "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release/generators/conanbuild.sh" && cmake --build "/home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release" '--' '-j3' ----------------- [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/portable-api.c.o [ 0%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/memory.c.o [ 1%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/pthreads.c.o [ 1%] Building C object pthreadpool/CMakeFiles/pthreadpool.dir/src/fastpath.c.o [ 2%] Linking C shared library libpthreadpool.so [ 2%] Built target pthreadpool [ 2%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/api/error_reporter.cc.o [ 2%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/api/flatbuffer_conversions.cc.o [ 3%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/api/op_resolver.cc.o [ 3%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/api/tensor_utils.cc.o [ 4%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/c/c_api.cc.o [ 4%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/c/c_api_experimental.cc.o [ 4%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/c/common.cc.o [ 6%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/experimental/acceleration/configuration/delegate_registry.cc.o [ 6%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/experimental/acceleration/configuration/stable_delegate_registry.cc.o [ 7%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/kernels/register.cc.o [ 7%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/interpreter.cc.o [ 7%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/interpreter_builder.cc.o [ 8%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/interpreter_experimental.cc.o [ 8%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/model_builder.cc.o [ 8%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/subgraph.cc.o [ 9%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/tools/verifier.cc.o [ 9%] Building CXX object CMakeFiles/tensorflow-lite.dir/core/tools/verifier_internal.cc.o [ 10%] Building CXX object CMakeFiles/tensorflow-lite.dir/c/c_api_for_testing.cc.o [ 10%] Building CXX object CMakeFiles/tensorflow-lite.dir/c/c_api_internal.cc.o [ 10%] Building CXX object CMakeFiles/tensorflow-lite.dir/c/c_api_opaque.cc.o [ 12%] Building CXX object CMakeFiles/tensorflow-lite.dir/c/c_api_opaque_internal.cc.o [ 12%] Building CXX object CMakeFiles/tensorflow-lite.dir/c/common_internal.cc.o [ 13%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/nnapi/nnapi_delegate_disabled.cc.o [ 13%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/interpreter_utils.cc.o [ 13%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/serialization.cc.o [ 14%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/telemetry.cc.o [ 14%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/utils.cc.o [ 15%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/quantization_util.cc.o [ 15%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/xnnpack/xnnpack_delegate.cc.o [ 15%] Building CXX object CMakeFiles/tensorflow-lite.dir/delegates/external/external_delegate.cc.o [ 17%] Building CXX object CMakeFiles/tensorflow-lite.dir/experimental/remat/metadata_util.cc.o [ 17%] Building CXX object CMakeFiles/tensorflow-lite.dir/experimental/resource/initialization_status.cc.o [ 17%] Building CXX object CMakeFiles/tensorflow-lite.dir/experimental/resource/resource_variable.cc.o [ 18%] Building CXX object CMakeFiles/tensorflow-lite.dir/experimental/resource/static_hashtable.cc.o [ 18%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/optimized/cpu_check.cc.o [ 19%] Building CXX object 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97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/platform_profiler.cc.o [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/root_profiler.cc.o [ 97%] Building CXX object CMakeFiles/tensorflow-lite.dir/profiling/telemetry/profiler.cc.o [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/kernels/internal/utils/sparsity_format_converter.cc.o [ 98%] Building CXX object CMakeFiles/tensorflow-lite.dir/schema/schema_utils.cc.o [100%] Linking CXX shared library libtensorflow-lite.so [100%] Built target tensorflow-lite tensorflow-lite/2.12.0: Package '4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32' built tensorflow-lite/2.12.0: Build folder /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/build/Release tensorflow-lite/2.12.0: Generated conaninfo.txt tensorflow-lite/2.12.0: Generated conanbuildinfo.txt tensorflow-lite/2.12.0: Generating the package tensorflow-lite/2.12.0: Package folder /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/package/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32 tensorflow-lite/2.12.0: Calling package() tensorflow-lite/2.12.0: Copied 1 file: LICENSE tensorflow-lite/2.12.0: Copied 1028 '.h' files tensorflow-lite/2.12.0: Copied 1 '.h' file: version.h tensorflow-lite/2.12.0: Copied 2 '.so' files: libtensorflow-lite.so, libpthreadpool.so [HOOK - conan-center.py] post_package(): [PACKAGE LICENSE (KB-H012)] OK [HOOK - conan-center.py] post_package(): [DEFAULT PACKAGE LAYOUT (KB-H013)] OK [HOOK - conan-center.py] post_package(): [MATCHING CONFIGURATION (KB-H014)] OK [HOOK - conan-center.py] post_package(): [SHARED ARTIFACTS (KB-H015)] OK [HOOK - conan-center.py] post_package(): [STATIC ARTIFACTS (KB-H074)] OK [HOOK - conan-center.py] post_package(): [EITHER STATIC OR SHARED OF EACH LIB (KB-H076)] OK [HOOK - conan-center.py] post_package(): [PC-FILES (KB-H020)] OK [HOOK - conan-center.py] post_package(): [CMAKE-MODULES-CONFIG-FILES (KB-H016)] OK [HOOK - conan-center.py] post_package(): [PDB FILES NOT ALLOWED (KB-H017)] OK [HOOK - conan-center.py] post_package(): [LIBTOOL FILES PRESENCE (KB-H018)] OK [HOOK - conan-center.py] post_package(): [MS RUNTIME FILES (KB-H021)] OK [HOOK - conan-center.py] post_package(): [SHORT_PATHS USAGE (KB-H066)] OK [HOOK - conan-center.py] post_package(): [MISSING SYSTEM LIBS (KB-H043)] OK [HOOK - conan-center.py] post_package(): [APPLE RELOCATABLE SHARED LIBS (KB-H077)] OK tensorflow-lite/2.12.0 package(): Packaged 1 file: LICENSE tensorflow-lite/2.12.0 package(): Packaged 1029 '.h' files tensorflow-lite/2.12.0 package(): Packaged 2 '.so' files: libtensorflow-lite.so, libpthreadpool.so tensorflow-lite/2.12.0 package(): Packaged 1 '.cmake' file: conan-official-tensorflow-lite-targets.cmake tensorflow-lite/2.12.0: Package '4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32' created tensorflow-lite/2.12.0: Created package revision dd678304ef979c76250c4c929db31e44 [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 [HOOK - conan-center.py] post_package_info(): [INCLUDE PATH DOES NOT EXIST (KB-H071)] OK Aggregating env generators CMake Warning (dev) at /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/cmake/3.28.1/_/_/package/4db1be536558d833e52e862fd84d64d75c2b3656/share/cmake-3.28/Modules/ExternalProject.cmake:3198 (message): The DOWNLOAD_EXTRACT_TIMESTAMP option was not given and policy CMP0135 is not set. The policy's OLD behavior will be used. When using a URL download, the timestamps of extracted files should preferably be that of the time of extraction, otherwise code that depends on the extracted contents might not be rebuilt if the URL changes. The OLD behavior preserves the timestamps from the archive instead, but this is usually not what you want. Update your project to the NEW behavior or specify the DOWNLOAD_EXTRACT_TIMESTAMP option with a value of true to avoid this robustness issue. Call Stack (most recent call first): /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/cmake/3.28.1/_/_/package/4db1be536558d833e52e862fd84d64d75c2b3656/share/cmake-3.28/Modules/ExternalProject.cmake:4422 (_ep_add_download_command) CMakeLists.txt:21 (ExternalProject_Add) This warning is for project developers. Use -Wno-dev to suppress it. Cloning into 'FXdiv-source'... Already on 'master' In file included from /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/eigen_spatial_convolutions.h:43, from /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:32, from /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/conv.cc:37: /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = std::enable_if::type]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1027:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:510:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1135:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1135 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1175:40: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1175 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1200:36: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 1200 | PacketBlock kernel; | ^~~~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = std::enable_if::type]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 488 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = std::enable_if::type]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = std::enable_if::type]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1050:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:488:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:495:14: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:575:65: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 575 | const Index packetSize = internal::unpacket_traits::size; | ^~~~ /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/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 = EigenForTFLite::internal::Packet4f]': /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:516:12: 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 = std::enable_if::type]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:763:79: 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 = EigenForTFLite::internal::Packet4f]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:1201:54: 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/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:919:24: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1056:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorMorphing.h:164:39: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/eigen/3.4.0/_/_/package/5ab84d6acfe1f23c4fae0ab88f26e3a396351ac9/include/eigen3/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: 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::Off]' /home/conan/workspace/prod-v1/bsr/3041/eebdd/.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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:129:29: 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/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/lite/kernels/internal/optimized/multithreaded_conv.h:171:15: required from here /home/conan/workspace/prod-v1/bsr/3041/eebdd/.conan/data/tensorflow-lite/2.12.0/_/_/build/4cc7b4d3d01d6bceaef5a579c5eca20bdc884c32/src/tensorflow/tsl/framework/convolution/eigen_spatial_convolutions-inl.h:603:63: warning: ignoring attributes on template argument 'EigenForTFLite::internal::packet_traits::type' {aka 'EigenForTFLite::internal::Packet4f'} [-Wignored-attributes] 603 | const int packetSize = internal::unpacket_traits::size; | ^~~~ tensorflow-lite/2.12.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior tensorflow-lite/2.12.0: WARN: Using the new toolchains and generators without specifying a build profile (e.g: -pr:b=default) is discouraged and might cause failures and unexpected behavior