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ci/official/README.md
Maintainer: TensorFlow and TensorFlow DevInfra Issue Reporting: File an issue against this repo and tag [@devinfra](https://github.com/orgs/tensorflow/teams/devinfra) ******************************************************************************** ## TensorFlow's Official CI and Build/Test Scripts TensorFlow's official CI jobs run the scripts in this folder. Our internal CI
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CONTRIBUTING.md
its dependencies and the rest of the system. - Rarely, If the tests fail at this stage, we cannot merge the code. - If needed, we may come to you to make some changes. At times, it may not be you, it may be us who may have hit a snag. Please be patient while we work to fix this. - Once the internal tests pass, we go ahead and merge the code internally as well as externally on GitHub.
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ci/official/containers/linux_arm64/builder.devtoolset/build_devtoolset.sh
"${TARGET}/usr/lib64" # Link in architecture specific includes from the system; note that we cannot # link in the whole aarch64-linux-gnu folder, as otherwise we're overlaying # system gcc paths that we do not want to find. # TODO(klimek): Automate linking in all non-gcc / non-kernel include # directories. mkdir -p "${TARGET}/usr/include/aarch64-linux-gnu"
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tensorflow/c/experimental/ops/README.md
# Experimental C++ Ops The C++ files in this directory (***\*_ops.h*** and ***\*_ops.cc***) are autogenerated from the registered Op and API definitions. To regenerate them, run the script in this directory, `update_cpp_ops.sh`, with no arguments. This script will overwrite the existing ops in-place at ***tensorflow/c/experimental/ops/\*_ops.{cc,h}***. Run this `update_cpp_ops.sh` script when Op definitions change in the registry.
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tensorflow/c/eager/c_api_experimental.h
// This function will block till the operation that produces `h` has // completed. This is only valid on local TFE_TensorHandles. The pointer // returned will be on the device in which the TFE_TensorHandle resides (so e.g. // for a GPU tensor this will return a pointer to GPU memory). The pointer is // only guaranteed to be valid until TFE_DeleteTensorHandle is called on this // TensorHandle. Only supports POD data types.
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tensorflow/c/eager/c_api_unified_experimental.h
// A TF_AbstractOp is the metadata we need to execute an operation. E.g. this // could contain the op type and other attributes. typedef struct TF_AbstractOp TF_AbstractOp; // Stores a function representation that can be used for execution or for // setting functional attributes of other composite ops e.g. control flow. typedef struct TF_AbstractFunction TF_AbstractFunction; // This allows the client to swap the implementation of the tracing engine.
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tensorflow/__init__.py
# Copyright 2015 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS,
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tensorflow/c/experimental/filesystem/plugins/gcs/expiring_lru_cache.h
return compute_func(key, value, status); } // Note: we hold onto mu_ for the rest of this function. In practice, this // is okay, as stat requests are typically fast, and concurrent requests are // often for the same file. Future work can split this up into one lock per // key if this proves to be a significant performance bottleneck. absl::MutexLock lock(&mu_); if (LookupLocked(key, value)) {
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.github/workflows/release-branch-cherrypick.yml
# will be created. name: Release Branch Cherrypick on: workflow_dispatch: inputs: # We use this instead of the "run on branch" argument because GitHub looks # on that branch for a workflow.yml file, and we'd have to cherry-pick # this file into those branches. release_branch: description: 'Release branch name (e.g. r2.9)' required: true type: string
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ci/official/requirements_updater/README.md
be required before going through the steps below. This is due to the new Python versions becoming available through `rules-python`. \ See [here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de), and [here](https://github.com/tensorflow/tensorflow/commit/052445e04ce20fd747657e0198a1bcec2b6dff5b), for an example. See
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