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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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tensorflow/c/experimental/filesystem/plugins/gcs/cleanup.h
// capturing the return value in an 'auto' local variable. Most users will not // need more sophisticated syntax than that. // // Example: // void func() { // FILE* fp = fopen("data.txt", "r"); // if (fp == nullptr) return; // auto fp_cleaner = gtl::MakeCleanup([fp] { fclose(fp); }); // // No matter what, fclose(fp) will happen. // DataObject d;
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README.md
**`Documentation`** | ------------------- | [![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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ci/official/utilities/extract_resultstore_links.py
return parsed_args def parse_log(file_path: str, verbose: bool = False) -> ResultDictType: """Finds ResultStore links, and tries to determine their status.""" with open(file_path, 'r', encoding='utf-8', errors='ignore') as f: log_lines = f.read().splitlines() result_store_links: ResultDictType = {} current_url = None for i in range(len(log_lines)): line = log_lines[i]
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.github/workflows/stale-issues.yml
stale-issue-message: > This issue is stale because it has been open for 7 days with no activity. It will be closed if no further activity occurs. Thank you. close-issue-message: > This issue was closed because it has been inactive for 7 days since being marked as stale. Please reopen if you'd like to work on this further. days-before-pr-stale: 14
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tensorflow/c/experimental/filesystem/plugins/posix/posix_filesystem.cc
TF_SetStatus(status, TF_OK, ""); } static void NewWritableFile(const TF_Filesystem* filesystem, const char* path, TF_WritableFile* file, TF_Status* status) { FILE* f = fopen(path, "w"); if (f == nullptr) { TF_SetStatusFromIOError(status, errno, path); return; } file->plugin_file = new tf_writable_file::PosixFile({strdup(path), f}); TF_SetStatus(status, TF_OK, "");
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configure.py
# Write tools/python_bin_path.sh with open( os.path.join(_TF_WORKSPACE_ROOT, 'tools', 'python_bin_path.sh'), 'w') as f: f.write('export PYTHON_BIN_PATH="{}"'.format(python_bin_path)) def reset_tf_configure_bazelrc(): """Reset file that contains customized config settings.""" open(_TF_BAZELRC, 'w').close() def cleanup_makefile():
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ci/official/wheel_test/test_import_api_packages.py
api_packages_path = pkg_resources.resource_filename( "tensorflow", "_api/v2/api_packages.txt" ) logging.info("Load api packages file: %s", api_packages_path) with open(api_packages_path) as file: return set(file.read().splitlines()) super().setUp() self.api_packages_v2 = _get_api_packages_v2() # Some paths in the api_packages_path file cannot be directly imported.
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CITATION.cff
authors:...
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.zenodo.json
{ "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.", "license": "Apache-2.0", "title": "TensorFlow", "upload_type": "software", "creators": [ { "name": "TensorFlow Developers" }
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