Interested in contributing to TF Agents? We appreciate all kinds of help!
We gladly welcome pull requests.
Before making any changes, we recommend opening an issue (if it doesn't already exist) and discussing your proposed changes. This will let us give you advice on the proposed changes. If the changes are minor, then feel free to make them without discussion.
Want to contribute but not sure of what? Here are a few suggestions:
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Add a new example, colab, or tutorial. These are a great way to familiarize yourself and others with TF Agents.
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Solve an existing issue. These range from low-level software bugs to higher-level design problems. Check out the label good first issue.
All submissions, including submissions by project members, require review. After a pull request is approved, we merge it. Note our merging process differs from GitHub in that we pull and submit the change into an internal version control system. This system automatically pushes a git commit to the GitHub repository (with credit to the original author) and closes the pull request.
See the TF Agents style guide.
All TF Agents code-paths must be unit-tested. See existing unit tests for recommended test setup.
Unit tests ensure new features (a) work correctly and (b) guard against future breaking changes (thus lower maintenance costs).
To run existing unit-tests, use the command:
python setup.py test
from the root of the tf_agents
repository, ideally inside a virtualenv.
The tests will run with CPU or GPU, depending on which version of TensorFlow
you have installed.
Contributions to this project must be accompanied by a Contributor License Agreement. You (or your employer) retain the copyright to your contribution; this simply gives us permission to use and redistribute your contributions as part of the project. Head over to https://cla.developers.google.com/ to see your current agreements on file or to sign a new one.
You generally only need to submit a CLA once, so if you've already submitted one (even if it was for a different project), you probably don't need to do it again.