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tensorflow/c/c_api_internal.h
// Maps from name of an operation to the Node* in 'graph'. std::unordered_map<tensorflow::string, tensorflow::Node*> name_map TF_GUARDED_BY(mu); // The keys of this map are all the active sessions using this graph. Each // value records whether the graph has been mutated since the corresponding // session has been run (this is detected in RecordMutation function). If the
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tensorflow/c/eager/c_api_unified_experimental.h
// TF_ExecuteOperation will, if in eager mode, execute, if in graph mode, maybe // capture some inputs and then add a node in the graph. The output tensors are // returned through the provided TF_OutputList. // Any active tape will observe the effects of this execution. void TF_ExecuteOperation(TF_AbstractOp* op, int num_inputs, TF_AbstractTensor* const* inputs, TF_OutputList* o, TF_Status* s);
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ci/official/containers/linux_arm64/devel.usertools/wheel_verification.bats
# the venv and the venv is active when those tests run. The venv gets cleaned # up in teardown_file() above. @test "Wheel is installable" { python3 -m venv /tf/venv source /tf/venv/bin/activate python3 -m pip install --upgrade setuptools wheel python3 -m pip install "$TF_WHEEL" } @test "TensorFlow is importable" { source /tf/venv/bin/activate
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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
# 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 # Prevent double-compilation of some TF code, ref. b/183279666 (internal)
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.github/workflows/arm-ci.yml
permissions: contents: read jobs: build: # Don't do this in forks, and if labeled, only for 'kokoro:force-run' if: github.repository == 'tensorflow/tensorflow' && (github.event.action != 'labeled' || (github.event.action == 'labeled' && github.event.label.name == 'kokoro:force-run')) runs-on: [self-hosted, linux, ARM64] strategy: matrix: pyver: ['3.10'] steps:
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tensorflow/c/eager/immediate_execution_context.h
struct CacheStats { int64_t kernel_cache_size; int64_t device_cache_size; std::map<std::string, int64_t> func_kernel_cache_entries; int64_t local_rendezvous_cache_active_size; }; virtual CacheStats GetCacheStats() = 0; //===--------------------------------------------------------------------===// // Distributed runtime related functions.
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tensorflow/c/eager/c_api.h
// graph mode). Calling this on a context tells it to start a step. TF_CAPI_EXPORT extern void TFE_ContextStartStep(TFE_Context* ctx); // Ends a step. When there is no active step (that is, every started step has // been ended) step containers will be cleared. Note: it is not safe to call // TFE_ContextEndStep while ops that rely on the step container may be running.
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tensorflow/c/eager/tape.h
// Tensor associated with `tensor_id` is deleted. void DeleteGradient(int64_t tensor_id); // Runs forward autodiff. Should be called whenever a new operation is // available and the accumulator is active. // // Like GradientTape::RecordOperation, this method takes the operation type // `op_type` (e.g. "Add"), the operation's inputs (`input_tensors`, // `input_tensor_id`, and `input_dtypes`; the latter two are somewhat
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.github/workflows/scorecards-analysis.yml
- name: "Run analysis" uses: ossf/scorecard-action@15c10fcf1cf912bd22260bfec67569a359ab87da # v2.1.1 with: results_file: results.sarif results_format: sarif # Publish the results to enable scorecard badges. For more details, see # https://github.com/ossf/scorecard-action#publishing-results.
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
# 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 # Use lld as the linker build --linkopt="-fuse-ld=lld"
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