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.bazelrc
# nothing in a bazelrc will default to a monolithic build. The following line # opts in to modular op registration support by default. build --define framework_shared_object=true build --define tsl_protobuf_header_only=true build --define=use_fast_cpp_protos=true build --define=allow_oversize_protos=true build --spawn_strategy=standalone build -c opt # Make Bazel print out all options from rc files.
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WORKSPACE
NUMPY_ANNOTATIONS = { "numpy": package_annotation( additive_build_content = """\ filegroup( name = "includes", srcs = glob(["site-packages/numpy/core/include/**/*.h"]), ) cc_library( name = "numpy_headers", hdrs = [":includes"], strip_include_prefix="site-packages/numpy/core/include/", ) """, ), } pip_parse( name = "pypi", annotations = NUMPY_ANNOTATIONS,
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
echo "Use 'devtoolset-9' to build a manylinux2014 compatible toolchain" exit 1 ;; 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"
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tensorflow/c/eager/c_api_experimental.h
limitations under the License. ==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_H_ #define TENSORFLOW_C_EAGER_C_API_EXPERIMENTAL_H_ #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_macros.h" #include "tensorflow/c/eager/c_api.h" #ifdef __cplusplus extern "C" { #endif
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CODE_OF_CONDUCT.md
contributors and maintainers pledge to make participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. ## Our Standards
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
//tensorflow/tools/pip_package:win_pip_package_marker //tensorflow/core:image_testdata //tensorflow/core/lib/lmdb:lmdb_testdata //tensorflow/core/lib/lmdb/testdata:lmdb_testdata //tensorflow/core/kernels/cloud:bigquery_reader_ops //tensorflow/python:extra_py_tests_deps //tensorflow/python:mixed_precision //tensorflow/python:tf_optimizer //tensorflow/python:compare_test_proto_py //tensorflow/python/framework:test_ops_2
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RELEASE.md
* Unified eager and `tf.function` execution: * Eager mode can now execute each op as a `tf.function`, allowing for more consistent feature support in future releases. * It is available for immediate use. * See the `TF_RUN_EAGER_OP_AS_FUNCTION` environment variable in
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tensorflow/c/eager/c_api_test_util.cc
==============================================================================*/ #include "tensorflow/c/eager/c_api_test_util.h" #include <memory> #include <string> #include <vector> #include "tensorflow/c/eager/c_api.h" #include "tensorflow/c/eager/c_api_experimental.h" #include "tensorflow/c/eager/c_api_internal.h" #include "tensorflow/c/tf_datatype.h" #include "tensorflow/c/tf_tensor.h"
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tensorflow/c/c_api_experimental.cc
TF_CheckpointReader* reader = new TF_CheckpointReader(filename, status); if (!status->status.ok()) { TF_DeleteCheckpointReader(reader); return nullptr; } const auto& m = reader->GetVariableToDataTypeMap(); for (auto it = m.begin(); it != m.end(); ++it) reader->variable_list.push_back(it->first); std::sort(reader->variable_list.begin(), reader->variable_list.end()); return reader; }
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tensorflow/c/c_api_experimental.h
TF_CAPI_EXPORT extern void TF_DeleteCheckpointReader( TF_CheckpointReader* reader); TF_CAPI_EXPORT extern int TF_CheckpointReaderHasTensor( TF_CheckpointReader* reader, const char* name); // Get the variable name at the given index TF_CAPI_EXPORT extern const char* TF_CheckpointReaderGetVariable( TF_CheckpointReader* reader, int index); // Get the number of variable in the checkpoint
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