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CONTRIBUTING.md
issue if there is one) requesting the feature and describing specific use cases for it. If the feature has merit, it will go through a thorough process of API design and review. Any code should come after this. [APIs]: https://en.wikipedia.org/wiki/Application_programming_interface [issue]: https://github.com/google/guava/issues Pull requests -------------
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CONTRIBUTING.md
> a local machine without necessary parallelization and caching. > The full test suites are executed on the CI instance for multiple configurations, > and you can rely on it after doing initial sanity check and targeted local testing. ### Submitting Your Change
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CONTRIBUTING.md
pull requests are approved and pass continuous integration checks, a TensorFlow team member will apply `ready to pull` label to your change. This means we are working on getting your pull request submitted to our internal repository. After the change has been submitted internally, your pull request will be merged automatically on GitHub. If you want to contribute, start working through the TensorFlow codebase, navigate to the
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