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tensorflow/c/eager/c_api.h
==============================================================================*/ #ifndef TENSORFLOW_C_EAGER_C_API_H_ #define TENSORFLOW_C_EAGER_C_API_H_ // C API extensions to experiment with eager execution of kernels. // WARNING: Unlike tensorflow/c/c_api.h, the API here is not guaranteed to be // stable and can change without notice. #include "tensorflow/c/c_api.h" #include "tensorflow/c/c_api_macros.h" #ifdef __cplusplus extern "C" {
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ci/README.md
# TensorFlow continuous integration > **Warning** This folder is still under construction. It is part of an ongoing > 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
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tensorflow/c/c_api.h
// of stdbool.h is avoided and unsigned char is used instead. // * size_t is used to represent byte sizes of objects that are // materialized in the address space of the calling process. // * int is used as an index into arrays. // * Deletion functions are safe to call on nullptr. // // Questions left to address: // * Might at some point need a way for callers to provide their own Env.
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tensorflow/c/eager/abstract_context.h
virtual ~AbstractContext() {} public: AbstractContextKind getKind() const { return kind_; } // Release any underlying resources, including the interface object. // // WARNING: The destructor of this class is marked as protected to disallow // clients from directly destroying this object since it may manage its own // lifetime through ref counting. Thus clients MUST call Release() in order to
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ci/official/containers/linux_arm64/devel.usertools/squash_testlogs.py
else: p.text += ( "\n Since there were not three failures, this is probably a flake." ) p.text += ( "\n Flakes make this pkg/pip_and_nonpip_tests target show " "as failing," ) p.text += "\n but do not make the Kokoro invocation fail." os.makedirs(os.path.dirname(sys.argv[2]), exist_ok=True) result.update_statistics()
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README.md
Keep up-to-date with release announcements and security updates by subscribing to [******@****.***](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce). See all the [mailing lists](https://www.tensorflow.org/community/forums). ## Install See the [TensorFlow install guide](https://www.tensorflow.org/install) for the [pip package](https://www.tensorflow.org/install/pip), to
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tensorflow/c/eager/parallel_device/parallel_device_lib.h
}, nullptr), TF_DeleteTensor); // TODO(allenl): Here and when executing regular operations, we could hold // on to one TFE_Op per device and just call TFE_ResetOp to avoid parsing // device names repeatedly. std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> const_op( TFE_NewOp(context, "Const", status), TFE_DeleteOp); if (TF_GetCode(status) != TF_OK) return nullptr;
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ci/official/bisect.sh
# Run any CI script and env configuration to bisect a failing target in some # build configuration. You must set the following variables to control this # script: # # TF_BISECT_GOOD: Last known good commit (e.g. commit from the last passing job) # TF_BISECT_BAD: First bad commit (e.g. commit from the first failing job) # TF_BISECT_SCRIPT: The build script path relative to the TF root dir, e.g.
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache_test.cc
TF_SetStatus(status, TF_OK, ""); return bytes_transferred; }; for (size_t block_size = 2; block_size <= 4; block_size++) { // Make a cache of N-byte block size (1 block) and verify that reads of // varying offsets and lengths return correct data. tf_gcs_filesystem::RamFileBlockCache cache(block_size, block_size, 0, fetcher); for (size_t offset = 0; offset < 10; offset++) {
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ci/devinfra/README.md
# DevInfra CI Directory > **Warning** This folder is still under construction. It is part of an ongoing > 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
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