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tensorflow/c/c_api_internal.h
TF_GUARDED_BY(mu); bool delete_requested TF_GUARDED_BY(mu); // set true by TF_DeleteGraph // Used to link graphs contained in TF_WhileParams to the parent graph that // will eventually contain the full while loop. TF_Graph* parent; TF_Output* parent_inputs; }; struct TF_OperationDescription { TF_OperationDescription(TF_Graph* g, const char* op_type,
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ci/official/README.md
# and scripts on Linux create a persistent container called "tf" # which mounts your TensorFlow directory into the container. # # Important: because the container is persistent, you cannot change TFCI # variables in between script executions. To forcibly remove the # container and start fresh, run "docker rm -f tf". Removing the container # destroys some temporary bazel data and causes longer builds. #
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tensorflow/c/eager/immediate_execution_operation.h
ImmediateExecutionTensorHandle* input) = 0; virtual ImmediateExecutionContext* GetContext() const = 0; // Following two methods are used to support custom device. // Return true if the inputs contain custom device tensor handle. It means // that the argument need to be handled by a custom device. virtual bool HasCustomDeviceInput() const = 0; virtual const tensorflow::OpDef* OpDef() const = 0;
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ci/official/envs/rbe
EOF exit 1 fi TFCI_BAZEL_COMMON_ARGS="$TFCI_BAZEL_COMMON_ARGS --config rbe_$TFCI_BAZEL_TARGET_SELECTING_CONFIG_PREFIX" # These flags share the user's gcloud credentials with the container, so that bazel # inside the container can authenticate. Note: TF's CI does not have any credential # stored here.
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.github/workflows/arm-ci.yml
if [[ $running_containers == "" ]]; then echo "No running containers"; else echo "Running container(s) found" && \ docker stop $running_containers; fi docker container prune -f - name: Clean repository shell: bash
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ci/official/wheel_test/README.md
"tf.foo" being imported first. The `_api/v2/api_packages.txt` file is generated during the TensorFlow API v2 init files creation process and is subsequently stored in the wheel file after the build. It also contains a few paths that cannot be directly imported. These paths point to attributes or sub-modules within a module's namespace, but they don't correspond to an actual file or directory on the filesystem. The list of
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.gitignore
/.tf_configure.bazelrc /xla_configure.bazelrc /bazel-* /bazel_pip /tools/python_bin_path.sh /tensorflow/tools/git/gen /pip_test /_python_build *.pyc __pycache__ *.swp .vscode/ cmake_build/ tensorflow/contrib/cmake/_build/ .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/**
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tensorflow/c/checkpoint_reader.cc
} } bool CheckpointReader::HasTensor(const string& name) const { if (reader_ != nullptr) { return reader_->HasTensor(name, nullptr, nullptr); } return v2_reader_->Contains(name); } const TensorSliceReader::VarToShapeMap& CheckpointReader::GetVariableToShapeMap() const { CHECK(var_to_shape_map_); return *var_to_shape_map_; } const TensorSliceReader::VarToDataTypeMap&
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# different compilation methods. E.g. for a PR to test a new CUDA version, set # the CACHEBUSTER to the PR number. build --action_env=CACHEBUSTER=20220325 # Use Python 3.X as installed in container image build --action_env PYTHON_BIN_PATH="/usr/local/bin/python3" build --python_path="/usr/local/bin/python3" # Build TensorFlow v2 build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
Usage: squash_testlogs.py START_DIRECTORY OUTPUT_FILE Example: squash_testlogs.py /tf/pkg/testlogs /tf/pkg/merged.xml Recursively find all the JUnit test.xml files in one directory, and merge any of them that contain failures into one file. The TensorFlow DevInfra team uses this to generate a simple overview of an entire pip and nonpip test invocation, since the normal logs that Bazel creates are too large for the internal invocation viewer.
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