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ci/official/utilities/generate_index_html.sh
<li><a href="http://cs/f:devtools/kokoro/config/prod/$KOKORO_JOB_NAME">Codesearch - job definition</a></li> <li><a href="http://cs/f:learning/brain/testing/kokoro/$(echo "$KOKORO_JOB_NAME" | sed 's!tensorflow/!!g')">Codesearch - build definition & scripts</a></li> <li><a href="http://cs/$KOKORO_JOB_NAME">Codesearch - All references to this job</a></li> </ul>
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tensorflow/c/c_api.cc
shape_handle, static_cast<DataType>(types[i])); } ic->set_output_handle_shapes_and_types(output.index, shape_and_type_vec); } // Helpers for loading a TensorFlow plugin (a .so file). Status LoadDynamicLibrary(const char* library_filename, void** result, const void** buf, size_t* len);
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tensorflow/c/eager/c_api_experimental.h
// saves it in the buffer. TF_CAPI_EXPORT extern void TFE_HostAddressSpace(TFE_Context* ctx, TF_Buffer* buf); // APIs for generically dealing with op attributes (e.g. when forwarding them // through custom device implementations). // // TODO(allenl): Currently these are black boxes, but we should have some way to
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SECURITY.md
serving. We also provide guidelines on what constitutes a vulnerability in TensorFlow and how to report them. This document applies to other repositories in the TensorFlow organization, covering security practices for the entirety of the TensorFlow ecosystem. ## TensorFlow models are programs TensorFlow [**models**](https://developers.google.com/machine-learning/glossary/#model) (to
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tensorflow/c/eager/immediate_execution_context.h
typedef void (*MemoryReleaser)(void* data, size_t len, void* arg); // Create a tensor instance from the given data buffer and description. // `memory_releaser` will be called on destruction, and it's responsible for // cleaning up the underlying buffer. virtual AbstractTensorInterface* CreateTensor( DataType dtype, const int64_t* dims, int num_dims, void* data, size_t len, MemoryReleaser memory_releaser, void* memory_releaser_arg) = 0;
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RELEASE.md
### Breaking Changes `tf.keras`:
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.github/workflows/update-rbe.yml
title: Update the RBE images to the latest container versions committer: TensorFlow Release Automation <******@****.***> token: ${{ secrets.JENKINS_TOKEN }} reviewers: mihaimaruseac,learning-to-play,nitins17 body: | This PR was created by a GitHub Actions workflow to update all the SIG Build-based RBE containers to the most recent containers. See:
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.bazelrc
# XLA depends on some local Python headers that are configured as Genrule. They # are present on the local host machine but not on the remote execution machine, # leading to build failures. To resolve the issue, the following line is added # to make sure all Genrule targets are excuted locally. build:rbe_cross_compile_base_xla --config=rbe_cross_compile_base
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README.md
------------------- | [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) | [TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of [tools](https://www.tensorflow.org/resources/tools), [libraries](https://www.tensorflow.org/resources/libraries-extensions), and
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