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tensorflow/c/c_op_requires.h
#ifndef TENSORFLOW_C_C_OP_REQUIRES_H_ #define TENSORFLOW_C_C_OP_REQUIRES_H_ #include "tensorflow/core/platform/macros.h" namespace tensorflow { // Convenience macros for asserting and handling exceptional conditions, for // C structs, including `TF_OpKernelContext`, `TF_Status`, etc. This is analogus // to the macros in tensorflow/core/framework/op_requires.h. This is provided
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ci/official/utilities/generate_index_html.sh
<li>Job ID: $KOKORO_BUILD_ID</li> <li>Current HEAD Piper Changelist, if any: cl/${KOKORO_PIPER_CHANGELIST:-not available}</li> <li>Pull Request Number, if any: ${KOKORO_GITHUB_PULL_REQUEST_NUMBER_tensorflow:- none}</li> <li>Pull Request Link, if any: <a href="$KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow">${KOKORO_GITHUB_PULL_REQUEST_URL_tensorflow:-none}</a></li> <li>Commit: $KOKORO_GIT_COMMIT_tensorflow</li> </ul> <h2>Googlers-Only Links</h2> <ul>
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.github/ISSUE_TEMPLATE/tflite-other.md
body: - type: dropdown id: issue-type attributes: label: Issue Type description: What type of issue would you like to report? multiple: false options: - Bug - Build/Install - Performance - Support - Feature Request - Documentation Feature Request - Documentation Bug - Others validations: required: true - type: markdown attributes: value: | Please make sure that this is a bug. As per our
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ci/official/wheel_test/README.md
## Wheel Test This directory is dedicated to tests that require a built TensorFlow wheel file for testing, such as: * Ensuring the entire API is importable * Testing downstream projects against the wheel Ensure you have Bazel installed and accessible from your command line. These tests use hermetic Python. They also require a built TensorFlow wheel file and a requirements_lock file. The requirements_lock file is generated by the
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ISSUES.md
If you open a GitHub Issue, here is our policy: 1. It must be a bug/performance issue or a feature request or a build issue or a documentation issue (for small doc fixes please send a PR instead). 1. Make sure the Issue Template is filled out. 1. The issue should be related to the repo it is created in. **Here's why we have this policy:** We want to focus on the work that benefits the whole community, e.g., fixing bugs and adding features. Individual support
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.github/workflows/issue-on-pr-rollback.yml
uses: actions/github-script@d556feaca394842dc55e4734bf3bb9f685482fa0 # v6.3.3 with: github-token: ${{secrets.GITHUB_TOKEN}} script: | const script = require('./.github/workflows/create_issue.js')
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tensorflow/c/checkpoint_reader.h
TF_Status* out_status) const; private: // Uses "v2_reader_" to build "var name -> shape" and "var name -> data type" // maps; both owned by caller. // REQUIRES: "v2_reader_ != nullptr && v2_reader_.status().ok()". std::pair<std::unique_ptr<TensorSliceReader::VarToShapeMap>, std::unique_ptr<TensorSliceReader::VarToDataTypeMap> > BuildV2VarMaps();
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tensorflow/c/experimental/filesystem/modular_filesystem_test.cc
// root directory. Otherwise, we need to add the `<scheme>://` in front of // this path. // // Note that some filesystem might require a different approach here, for // example they might require the root directory path to be in a special // format, etc. When we get there, we might decide to move this class to // `modular_filesystem_test.h` and extend the instantiation to also take as
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tensorflow/c/experimental/filesystem/plugins/gcs/ram_file_block_cache.cc
block->lra_iterator = lra_list_.begin(); block->timestamp = timer_seconds_(); } } }); // Loop until either block content is successfully fetched, or our request // encounters an error. absl::MutexLock l(&block->mu); TF_SetStatus(status, TF_OK, ""); while (true) { switch (block->state) { case FetchState::ERROR: // TF_FALLTHROUGH_INTENDED
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tensorflow/c/c_api_test.cc
// TODO(ashankar): Use gmock matchers instead? // (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly) // That will require setting up the tensorflow build with gmock. #define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \ expected_total_size) \
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