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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
template <typename G> Cleanup(Cleanup<G>&& src) // NOLINT : released_(src.is_released()), f_(src.release()) {} // Assignment to a Cleanup object behaves like destroying it // and making a new one in its place, analogous to unique_ptr // semantics. Cleanup& operator=(Cleanup&& src) { // NOLINT if (!released_) f_(); released_ = src.released_; f_ = src.release(); return *this; } ~Cleanup() {
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tensorflow/api_template.__init__.py
`tf` instead of `tensorflow`, following the common practice of importing TensorFlow via the command `import tensorflow as tf`. The primary function of this module is to import all of the public TensorFlow interfaces into a single place. The interfaces themselves are located in sub-modules, as described below. Note that the file `__init__.py` in the TensorFlow source code tree is actually
Python - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Tue Mar 05 06:27:59 GMT 2024 - 6.7K bytes - Viewed (3) -
ci/README.md
> effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra ******************************************************************************** The CI folder contains the configuration files and scripts used to build, test,
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ci/official/containers/linux_arm64/build.sh
TAG=$(head -n 1 "$KOKORO_PIPER_DIR/presubmit_request.txt" | cut -d" " -f2) else TAG="pr-${KOKORO_GITHUB_PULL_REQUEST_NUMBER}" fi fi # Build for both JAX and TF usage. We do these in one place because they share # almost all of the same cache layers export DOCKER_BUILDKIT=1 for target in jax tf; do IMAGE="gcr.io/tensorflow-sigs/build-arm64:$target-$TAG" docker pull "$IMAGE" || true
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tensorflow/c/env.h
// loading a library. The rules for determining the exact location of the // library are platform-specific and are not documented here. // // On success, place OK in status and return the newly created library handle. // Otherwise returns nullptr and set error status. TF_CAPI_EXPORT extern void* TF_LoadSharedLibrary(const char* library_filename,
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ci/official/utilities/setup.sh
fi # Create and expand to the full path of TFCI_OUTPUT_DIR export TFCI_OUTPUT_DIR=$(realpath "$TFCI_OUTPUT_DIR") mkdir -p "$TFCI_OUTPUT_DIR" # In addition to dumping all script output to the terminal, place it into # $TFCI_OUTPUT_DIR/script.log exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1 # Setup tfrun, a helper function for executing steps that can either be run
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tensorflow/c/c_api_function.cc
if (iter == input_nodes.end()) { // This node is not referenced in inputs. Add it to the body. body_nodes->push_back(node); } else { // This node is referenced in inputs. Currently, we place an // artificial restriction and require that when num_opers=-1, such // nodes must have a single output. if (node->num_outputs() != 1) { return InvalidArgument(
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tensorflow/c/c_api.h
// loading a library. The rules for determining the exact location of the // library are platform-specific and are not documented here. // // On success, place OK in status and return the newly created library handle. // The caller owns the library handle. // // On failure, place an error status in status and return NULL. TF_CAPI_EXPORT extern TF_Library* TF_LoadLibrary(const char* library_filename,
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tensorflow/c/eager/c_api_distributed_test.cc
} TEST(CAPI, DistributedFunctionNoError) { TestDistributedFunctionCancellation(false); } // TODO(b/170399182): Update test once an alternative to using the function // optimization hook is in place. TEST(CAPI, DISABLED_DistributedFunctionCancelledOnError) { TestDistributedFunctionCancellation(true); } void TestRemoteExecuteDeleteContextWithOutstandingRPC(bool async) {
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ci/devinfra/README.md
> effort to improve the structure of CI and build related files within the > TensorFlow repo. This warning will be removed when the contents of this > directory are stable and appropriate documentation around its usage is in > place. Maintainer: TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra)
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