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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
esac mkdir -p "${TARGET}" mkdir -p ${TARGET}/usr/include # Put the current kernel headers from ubuntu in place. ln -s "/usr/include/linux" "${TARGET}/usr/include/linux" ln -s "/usr/include/asm-generic" "${TARGET}/usr/include/asm-generic" ln -s "/usr/include/aarch64-linux-gnu/asm" "${TARGET}/usr/include/asm" # Download glibc's shared and development libraries based on the value of the # `VERSION` parameter.
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tensorflow/c/eager/c_api_unified_experimental.cc
} } // end namespace tracing } // end namespace tensorflow // ============================================================================= // Public C API entry points // // These are only the generic entry points for the C API. This file does not // have any visibility into the graph/eager implementation and is only providing // C bindings to the abstract classes defined in the // c_api_unified_experimental_internal.h header.
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
build --profile=/tf/pkg/profile.json.gz # Use the rebuilt gcc toolchain to compile for manylinux2014 build --crosstool_top="@ml2014_clang_aarch64_config_aarch64//crosstool:toolchain" build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
build --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain" test --crosstool_top="@ml2014_aarch64_config_aarch64//crosstool:toolchain" build --copt="-mtune=generic" --copt="-march=armv8-a" --copt="-O3" # Test-related settings below this point. test --build_tests_only --keep_going --test_output=errors --verbose_failures=true test --test_timeout=500,900,-1,-1
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tensorflow/c/eager/parallel_device/parallel_device.cc
} // For TFE_CustomDevice::copy_tensor_to_device in the parallel device // registration. // // Since this function is used to satisfy the TFE_CustomDevice C API, // device_info is passed in using a C-style generic. It must always be a // ParallelDevice. TFE_TensorHandle* CopyToParallelDevice(TFE_Context* context, TFE_TensorHandle* tensor,
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ci/official/utilities/setup.sh
# # Separately, if TFCI is set *and* there are also additional TFCI_ variables # set in the shell environment, those variables will be restored after the # TFCI env has been loaded. This is useful for e.g. on-demand "generic" jobs # where the user may wish to change just one option. if [[ -z "${TFCI:-}" ]]; then echo '==TFCI==: The $TFCI variable is not set. This is fine as long as you'
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
return (actual_code == Code::UNIMPLEMENTED) || (actual_code == expected_code); } TEST_P(ModularFileSystemTest, TestTranslateName) { const std::string generic_path = GetURIForPath("some_path"); FileSystem* fs = nullptr; Status s = env_->GetFileSystemForFile(generic_path, &fs); if (fs == nullptr || !s.ok()) GTEST_SKIP() << "No filesystem registered: " << s;
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CONTRIBUTING.md
- Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the [guidelines](#general-guidelines-and-philosophy-for-contribution). - Changes are consistent with the [Coding Style](#c-coding-style). - Run the [unit tests](#running-unit-tests). ## How to become a contributor and submit your own code
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README.md
uphold this code.** **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for tracking requests and bugs, please see [TensorFlow Forum](https://discuss.tensorflow.org/) for general questions and discussion, and please direct specific questions to [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).** The TensorFlow project strives to abide by generally accepted best practices in
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.bazelrc
# nonccl: Disable nccl support. # # # Remote build execution options (only configured to work with TF team projects for now.) # rbe_base: General RBE options shared by all flavors. # rbe_linux: General RBE options used on all linux builds. # rbe_win: General RBE options used on all windows builds. # # rbe_linux_cpu: RBE options to build with only CPU support.
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