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ci/official/envs/enable_pycpp_build
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ci/official/envs/linux_arm64
TFCI_DOCKER_ENABLE=1 TFCI_DOCKER_IMAGE=gcr.io/tensorflow-sigs/build-arm64:tf-2-16-multi-python TFCI_DOCKER_PULL_ENABLE=1 TFCI_DOCKER_REBUILD_ARGS="--target=tf ci/official/containers/linux_arm64" TFCI_INDEX_HTML_ENABLE=1 TFCI_LIB_SUFFIX="-cpu-linux-arm64" TFCI_OUTPUT_DIR=build_output TFCI_WHL_AUDIT_ENABLE=1 TFCI_WHL_AUDIT_PLAT=manylinux2014_aarch64 TFCI_WHL_BAZEL_TEST_ENABLE=1 TFCI_WHL_SIZE_LIMIT=240M
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ci/official/envs/versions_upload
# pretend the path is a directory. TFCI_ARTIFACT_FINAL_GCS_ENABLE=1 TFCI_ARTIFACT_FINAL_GCS_SA_PATH="${KOKORO_KEYSTORE_DIR}/73361_tensorflow_release_binary_uploader_service_account" TFCI_ARTIFACT_FINAL_GCS_URI="gs://tensorflow/versions/" TFCI_ARTIFACT_FINAL_PYPI_ARGS="--config-file=$KOKORO_KEYSTORE_DIR/73361_tensorflow_pypirc_using_global_api_token --repository pypi-warehouse" TFCI_ARTIFACT_FINAL_PYPI_ENABLE=1
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tensorflow/api_template.__init__.py
else: _module_dir = _module_util.get_parent_dir_for_name("keras.api._v2.keras") _current_module.__path__ = [_module_dir] + _current_module.__path__ # Enable TF2 behaviors from tensorflow.python.compat import v2_compat as _compat _compat.enable_v2_behavior() _major_api_version = 2 # Load all plugin libraries from site-packages/tensorflow-plugins if we are # running under pip.
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ci/official/requirements_updater/updater.sh
SUPPORTED_VERSIONS=("3_9" "3_10" "3_11" "3_12") for VERSION in "${SUPPORTED_VERSIONS[@]}" do touch "requirements_lock_$VERSION.txt" bazel run \ --experimental_convenience_symlinks=ignore \ --enable_bzlmod=false \ //:requirements_"$VERSION".update sed -i '/^#/d' requirements_lock_"$VERSION".txt mv requirements_lock_"$VERSION".txt ../../../requirements_lock_"$VERSION".txt done
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.github/workflows/scorecards-analysis.yml
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. # For private repositories, `publish_results` will automatically be set to `false`,
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ci/official/containers/linux_arm64/devel.usertools/code_check_full.bats
fi } # The Python package is not allowed to depend on any CUDA packages. @test "Pip package doesn't depend on CUDA" { bazel cquery \ --experimental_cc_shared_library \ --@local_config_cuda//:enable_cuda \ "somepath(//tensorflow/tools/pip_package:build_pip_package, " \ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cudart + "\ "@local_config_cuda//cuda:cuda_driver + "\
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tensorflow/c/eager/c_api.h
// overridden per thread using TFE_ContextSetExecutorForThread. TF_CAPI_EXPORT extern void TFE_ContextOptionsSetAsync(TFE_ContextOptions*, unsigned char enable); TF_CAPI_EXPORT extern void TFE_ContextOptionsSetDevicePlacementPolicy( TFE_ContextOptions*, TFE_ContextDevicePlacementPolicy); // Destroy an options object.
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CODE_OF_CONDUCT.md
real-time medium. 2. If this fails, get a third party (e.g. a mutual friend, and/or someone with background on the issue, but not involved in the conflict) to intercede. 3. If you are still unable to resolve the conflict, and you believe it rises to harassment or another code of conduct violation, report it. ## Reporting Violations
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tensorflow/c/c_api.cc
string(static_cast<const char*>(tensor_interface->Data()), tensor_interface->ByteSize()))) { return InvalidArgument( "Malformed TF_RESOURCE tensor: unable to parse resource handle"); } return absl::OkStatus(); } return absl::OkStatus(); } static bool TF_Run_Inputs(TF_Tensor* const* c_inputs,
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