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.gitignore
.idea/** /build/ [Bb]uild/ /build_output/ /tensorflow/core/util/version_info.cc /tensorflow/python/framework/fast_tensor_util.cpp /tensorflow/lite/gen/** /tensorflow/lite/tools/make/downloads/** /tensorflow/lite/tools/make/gen/** /api_init_files_list.txt /estimator_api_init_files_list.txt *.whl # Android .gradle .idea *.iml local.properties gradleBuild # iOS *.pbxproj *.xcworkspace
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ci/official/envs/disk_cache
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.github/ISSUE_TEMPLATE/tflite-other.md
Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md),we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub.
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tensorflow/c/checkpoint_reader.cc
(*var_to_shape_map)[key] = TensorShape(entry.shape()); (*var_to_data_type_map)[key] = DataType(entry.dtype()); } // The returned pointers are owned by the caller. return std::make_pair(std::move(var_to_shape_map), std::move(var_to_data_type_map)); } } // namespace checkpoint
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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tensorflow/api_template.__init__.py
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2 _tf2.enable() # API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in
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ci/official/containers/linux_arm64/Dockerfile
COPY cuda.packages.txt /cuda.packages.txt RUN /setup.sources.sh && /setup.packages.sh /devel.packages.txt # Install various tools. # - bats: bash unit testing framework # NOTE: v1.6.0 seems to have a bug that made "git" in setup_file break # - bazelisk: always use the correct bazel version # - buildifier: clean bazel build deps # - buildozer: clean bazel build deps
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tensorflow/c/eager/parallel_device/parallel_device_remote_test.cc
TensorHandlePtr combined_value = CreatePerDeviceValues( context.get(), in_components, device_name, status.get()); ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get()); // Loop to make synchronization failures more deterministic for (int i = 0; i < 100; ++i) { TensorHandlePtr multiply_result( Multiply(context.get(), combined_value.get(), combined_value.get(), status.get()));
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# bazel tests with a special flag "--define=no_tensorflow_py_deps=true", which # drops all the bazel dependencies for each py_test; this makes all the tests # use the wheel's TensorFlow installation instead of the one made available # through bazel. This must be done in a different root directory, //bazel_pip/..., # because "import tensorflow" run from the root directory would instead import # the folder instead of the venv package. #
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ci/official/containers/linux_arm64/builder.devtoolset/gcc9-fixups.patch
+ extern __typeof (name) aliasname __attribute__ ((alias (#name))) \ + __attribute_copy__ (name); /* This comes between the return type and function name in a function definition to make that definition weak. */ @@ -125,14 +131,16 @@ If weak aliases are not available, this defines a strong alias. */ # define weak_alias(name, aliasname) _weak_alias (name, aliasname) # define _weak_alias(name, aliasname) \
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