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I suspect onednn is not handling flags in a thread-safe way?
WARNING: ThreadSanitizer: data race (pid=502169) Read of size 1 at 0x7f3baeee22cc by thread T314: #0 dnnl::impl::setting_t<unsigned int>::initialized() /proc/self/cwd/external/onednn/src/common/utils.hpp:681:33 (xla_extension.so+0x4b2c171) (BuildId: ee9c291a11390fc5) #1 dnnl::impl::get_verbose(dnnl::impl::verbose_t::flag_kind, dnnl::impl::component_t::flag_kind) /proc/self/cwd/external/onednn/src/common/verbose.cpp:161:18 (xla_extension.so+0x4b2c171) #2 dnnl_sgemm /proc/self/cwd/external/onednn/src/common/gemm.cpp:102:5 (xla_extension.so+0x4a1b064) (BuildId: ee9c291a11390fc5) #3 Eigen::internal::dnnl_gemm_kernel<float, long, Eigen::internal::blas_data_mapper<float, long, 0, 0, 1>, false, false>::operator()(Eigen::internal::blas_data_mapper<float, long, 0, 0, 1> const&, float const*, float const*, long, long, long, float, float, int, int, char, char) /proc/self/cwd/external/xla/xla/tsl/framework/contraction/eigen_contraction_kernel.h:171:9 (xla_extension.so+0x32505cb) (BuildId: ee9c291a11390fc5) #4 Eigen::internal::TensorContractionKernel<float, float, float, long, Eigen::internal::blas_data_mapper<float, long, 0, 0, 1>, Eigen::internal::TensorContractionInputMapper<float, long, 1, Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::ThreadPoolDevice>, std::array<long, 1ul>, std::array<long, 1ul>, 8, true, false, 0, Eigen::MakePointer>, Eigen::internal::TensorContractionInputMapper<float, long, 0, Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::ThreadPoolDevice>, std::array<long, 1ul>, std::array<long, 1ul>, 8, false, false, 0, Eigen::MakePointer>>::invoke(Eigen::internal::blas_data_mapper<float, long, 0, 0, 1> const&, Eigen::internal::ColMajorBlock<float, long> const&, Eigen::internal::ColMajorBlock<float, long> const&, long, long, long, float, float) /proc/self/cwd/external/xla/xla/tsl/framework/contraction/eigen_contraction_kernel.h:894:1 (xla_extension.so+0x40aeb10) (BuildId: ee9c291a11390fc5) #5 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalGemmPartial<true, false, false, 0, true>(float*, long, long, int) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:849:18 (xla_extension.so+0x40b8ff6) (BuildId: ee9c291a11390fc5) #6 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalGemm<true, false, false, 0>(float*) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:746:20 (xla_extension.so+0x409e472) (BuildId: ee9c291a11390fc5) #7 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalProductSequential<true, false, false, 0>(float*) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:689:22 (xla_extension.so+0x409e472) Previous write of size 1 at 0x7f3baeee22cc by thread T312: #0 dnnl::impl::setting_t<unsigned int>::set(unsigned int) /proc/self/cwd/external/onednn/src/common/utils.hpp:685:22 (xla_extension.so+0x4b2db1a) (BuildId: ee9c291a11390fc5) #1 dnnl::impl::get_verbose(dnnl::impl::verbose_t::flag_kind, dnnl::impl::component_t::flag_kind) /proc/self/cwd/external/onednn/src/common/verbose.cpp:261:17 (xla_extension.so+0x4b2db1a) #2 dnnl_sgemm /proc/self/cwd/external/onednn/src/common/gemm.cpp:102:5 (xla_extension.so+0x4a1b064) (BuildId: ee9c291a11390fc5) #3 Eigen::internal::dnnl_gemm_kernel<float, long, Eigen::internal::blas_data_mapper<float, long, 0, 0, 1>, false, false>::operator()(Eigen::internal::blas_data_mapper<float, long, 0, 0, 1> const&, float const*, float const*, long, long, long, float, float, int, int, char, char) /proc/self/cwd/external/xla/xla/tsl/framework/contraction/eigen_contraction_kernel.h:171:9 (xla_extension.so+0x32505cb) (BuildId: ee9c291a11390fc5) #4 Eigen::internal::TensorContractionKernel<float, float, float, long, Eigen::internal::blas_data_mapper<float, long, 0, 0, 1>, Eigen::internal::TensorContractionInputMapper<float, long, 1, Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::ThreadPoolDevice>, std::array<long, 1ul>, std::array<long, 1ul>, 8, true, false, 0, Eigen::MakePointer>, Eigen::internal::TensorContractionInputMapper<float, long, 0, Eigen::TensorEvaluator<Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::ThreadPoolDevice>, std::array<long, 1ul>, std::array<long, 1ul>, 8, false, false, 0, Eigen::MakePointer>>::invoke(Eigen::internal::blas_data_mapper<float, long, 0, 0, 1> const&, Eigen::internal::ColMajorBlock<float, long> const&, Eigen::internal::ColMajorBlock<float, long> const&, long, long, long, float, float) /proc/self/cwd/external/xla/xla/tsl/framework/contraction/eigen_contraction_kernel.h:894:1 (xla_extension.so+0x40aeb10) (BuildId: ee9c291a11390fc5) #5 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalGemmPartial<true, false, false, 0, true>(float*, long, long, int) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:849:18 (xla_extension.so+0x40b8ff6) (BuildId: ee9c291a11390fc5) #6 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalGemm<true, false, false, 0>(float*) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:746:20 (xla_extension.so+0x409e472) (BuildId: ee9c291a11390fc5) #7 void Eigen::TensorContractionEvaluatorBase<Eigen::TensorEvaluator<Eigen::TensorContractionOp<std::array<Eigen::IndexPair<long>, 1ul> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::TensorMap<Eigen::Tensor<float const, 2, 0, long>, 16, Eigen::MakePointer> const, Eigen::NoOpOutputKernel const> const, Eigen::ThreadPoolDevice>>::evalProductSequential<true, false, false, 0>(float*) const /proc/self/cwd/external/eigen_archive/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:689:22 (xla_extension.so+0x409e472)
The text was updated successfully, but these errors were encountered:
penpornk
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I suspect onednn is not handling flags in a thread-safe way?
The text was updated successfully, but these errors were encountered: