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CONTRIBUTING.md
python tf_doctest.py --file=<file_path> ``` This will run it using your installed version of TensorFlow. To be sure you're running the same code that you're testing: * Use an up to date [tf-nightly](https://pypi.org/project/tf-nightly/) `pip install -U tf-nightly` * Rebase your pull request onto a recent pull from [TensorFlow's](https://github.com/tensorflow/tensorflow) master branch.
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CITATION.cff
- family-names: Zheng given-names: Xiaoqiang identifiers: - type: doi value: 10.5281/zenodo.4724125 description: The concept DOI for the collection containing all versions of the Citation File Format. date-released: "2015-11-09" license: "Apache-2.0" doi: 10.5281/zenodo.4724125
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SECURITY.md
potentially exploit a vulnerability in the TensorFlow code that handles videos, which could allow them to execute arbitrary code on the system running TensorFlow. It is important to keep TensorFlow up to date with the latest security patches and follow the sandboxing guideline above to protect against these types of vulnerabilities. ## Security properties of execution modes
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LICENSE
or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without
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RELEASE.md
optimizer. * **Learning rate schedule access.** When using a `LearningRateSchedule`, The new optimizer's `learning_rate` property returns the current learning rate value instead of a `LearningRateSchedule` object as before. If you need to access the `LearningRateSchedule` object, please use `optimizer._learning_rate`.
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README.md
and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a non-guaranteed backward compatible API for [other languages](https://www.tensorflow.org/api_docs). 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).
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