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  1. CONTRIBUTING.md

    # Contributing guidelines
    
    ## Pull Request Checklist
    
    Before sending your pull requests, make sure you do the following:
    
    -   Read the [contributing guidelines](CONTRIBUTING.md).
    -   Read the [Code of Conduct](CODE_OF_CONDUCT.md).
    -   Ensure you have signed the
        [Contributor License Agreement (CLA)](https://cla.developers.google.com/).
    -   Check if your changes are consistent with the
        [guidelines](#general-guidelines-and-philosophy-for-contribution).
    Plain Text
    - Registered: Tue May 07 12:40:20 GMT 2024
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  2. .github/workflows/stale-issues.yml

              close-issue-reason: completed
              # List of labels to remove when issues/PRs unstale. 
              labels-to-remove-when-unstale: "stat:contribution welcome,stat:good first issue"
              any-of-labels: "stat:contribution welcome,stat:good first issue"
              stale-issue-message: > 
                This issue is stale because it has been open for 180 days with no activity.
    Others
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  3. ci/official/README.md

    # Note that files created under Docker will be owned by "root".
    ls build_output
    ```
    
    ## Contribution & Maintenance
    
    The TensorFlow team does not yet have guidelines in place for contributing to
    this directory. We are working on it. Please join a TF SIG Build meeting (see:
    bit.ly/tf-sig-build-notes) if you'd like to discuss the future of contributions.
    
    ### Brief System Overview
    
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  4. README.md

    >>> hello.numpy()
    b'Hello, TensorFlow!'
    ```
    
    For more examples, see the
    [TensorFlow tutorials](https://www.tensorflow.org/tutorials/).
    
    ## Contribution guidelines
    
    **If you want to contribute to TensorFlow, be sure to review the
    [contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
    [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to
    uphold this code.**
    
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  5. RELEASE.md

        *   XLA:GPU reductions are deterministic by default (reductions within
            `jit_compile=True` are now deterministic).
        *   XLA:GPU works with Horovod (OSS contribution by Trent Lo from NVidia)
        *   XLA:CPU and XLA:GPU can compile tf.unique and tf.where when shapes are
            provably correct at compile time.
    *   `tf.saved_model.save`:
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