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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
> and you can rely on it after doing initial sanity check and targeted local testing. ### Submitting Your Change After you submit your pull request, a Gradle developer will review it. It is normal for this to take several iterations, so don't get discouraged by change requests. They ensure the high quality that we all enjoy.
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CONTRIBUTING.md
TensorFlow has passed version 1.0 and hence cannot make non-backward-compatible API changes without a major release. Reviewers of your pull request will comment on any API compatibility issues [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md). * When you contribute a new feature to TensorFlow, the maintenance burden is
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