30 lines
2.0 KiB
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30 lines
2.0 KiB
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Ecosystem CI
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`Ecosystem CI <https://github.com/Lightning-AI/ecosystem-ci>`_ automates issue discovery for your projects against Lightning nightly and releases.
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It is a lightweight repository that provides easy configuration of Continues Integration running on CPUs and GPUs.
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Any user who wants to keep their project aligned with current and future Lightning releases can use the EcoSystem CI to configure their integrations.
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Read more: `Stay Ahead of Breaking Changes with the New Lightning Ecosystem CI <https://devblog.pytorchlightning.ai/stay-ahead-of-breaking-changes-with-the-new-lightning-ecosystem-ci-b7e1cf78a6c7>`_
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----
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***********************
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Integrate a New Project
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***********************
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Follow the instructions below to add a new project to the PyTorch Lightning ecosystem.
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1. Fork the ecosystem CI repository to be able to create a `new Pull Request <https://docs.github.com/en/pull-requests/collaborating-with-pull-requests/proposing-changes-to-your-work-with-pull-requests/creating-a-pull-request-from-a-fork>`_ and work within a specific branch.
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2. Create a new config file in ``configs/<Organization-name>`` folder and call it ``<project-name>.yaml``.
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3. Define runtime for CPU and link the config for GPU:
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For CPU integrations, list OS and Python version combination to be running with GitHub actions.
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For GPU integrations, you only add the path to the config (OS/Linux and Python version is fixed) to be running with Azure pipelines.
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4. Add a Contact to the ``.github/CODEOWNERS`` list for your organization folder or just a single project.
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5. Create a Draft PR with all mentioned requirements.
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6. Join our `Discord <https://discord.gg/VptPCZkGNa>`_ (Optional) channel ``#alerts-ecosystem-ci`` to be notified if your project is breaking.
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To learn more about Ecosystem CI, please refer to the `Ecosystem CI repo <https://github.com/Lightning-AI/ecosystem-ci>`_.
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Also, note that some particular implementation details described above may evolve over time.
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