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- Add a policy for new tutorials submissions --------- Co-authored-by: albanD <[email protected]> Co-authored-by: Nikita Shulga <[email protected]>
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# PyTorch Tutorial Submission Policy | ||
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This policy outlines the criteria and process for submitting new | ||
tutorials to the PyTorch community. | ||
Our goal is to ensure that all tutorials are of high quality, | ||
relevant, and up-to-date, supporting both the growth of the PyTorch | ||
users and the evolution of the PyTorch framework itself. By following | ||
these guidelines, contributors can help us maintain a robust and | ||
informative educational environment. | ||
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## Acceptance Criteria For New Tutorials | ||
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We accept new tutorials that adhere to one of the following use cases: | ||
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* **Demonstrate New PyTorch Features:** Tutorials that support new features | ||
for upcoming PyTorch releases are typically authored by the engineers who | ||
are developing these features. These tutorials are crucial for showcasing | ||
the latest advancements in PyTorch. We typically do not require more than | ||
one tutorial per feature. | ||
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* **Tutorials showcasing PyTorch usage with other tools and libraries:** We | ||
accept community-contributed tutorials that illustrate innovative uses of | ||
PyTorch alongside other open-source projects, models, and tools. Please | ||
ensure that your tutorial remains neutral and does not promote or endorse | ||
proprietary technologies over others. | ||
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The first use case does not require going through the submission | ||
process outlined below. If your tutorial falls under the second category, | ||
please read and follow the instructions in the | ||
**Submission Process For Community-Contributed Tutorials** section. | ||
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## Submission Process For Community-Contributed Tutorials | ||
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To maintain the quality and relevance of tutorials, we request that | ||
community-contributed tutorials undergo a review process. If you are | ||
interested in contributing a tutorial, please follow these steps: | ||
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1. **Create an issue:** | ||
* Open an issue in the pytorch/tutorials repository proposing the | ||
new tutorial. Clearly explain the importance of the tutorial and | ||
confirm that there is no existing tutorial covering the same or | ||
similar topic. A tutorial should not disproportionately endorse | ||
one technology over another. Please consult with Core Maintainers | ||
to ensure your content adheres to these guidelines. | ||
Use the provided [ISSUE_TEMPLATE](https://github.com/pytorch/tutorials/blob/main/.github/ISSUE_TEMPLATE/feature-request.yml) for the new tutorial request - select **Feature request** when submitting an issue. | ||
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* If there is an existing tutorial on the topic that you would | ||
like to significantly refactor, you can submit a PR. In the | ||
description of the PR, explain why the changes are needed and | ||
how they improve the tutorial. | ||
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* These issues will be triaged by PyTorch maintainers on a case-by-case basis. | ||
* Link any supporting materials including discussions in other repositories. | ||
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1. **Await Approval:** | ||
* Wait for a response from the PyTorch Tutorials maintainers. A PyTorch | ||
tutorial maintainer will review your proposal and | ||
determine whether a tutorial on the proposed topic is desirable. | ||
A comment and an **approved** label will be added to your issue | ||
by a maintainer. The review process for new tutorial PRs submitted | ||
without the corresponding issue may take longer. | ||
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1. **Adhere to writing and styling guidelines:** | ||
* Once approved, follow the guidelines outlined in [CONTRIBUTING.md](https://github.com/pytorch/tutorials/blob/main/CONTRIBUTING.md) | ||
and use the provided [template](https://github.com/pytorch/tutorials/blob/main/beginner_source/template_tutorial.py) for creating your tutorial. | ||
* Link the issue in which you received approval for your tutorial | ||
in the PR. | ||
* We accept tutorials in both ``.rst`` (ReStructuredText) and ``.py`` | ||
(Python) formats. However, unless your tutorial involves using | ||
multiple GPU, parallel/distributed training, or requires extended | ||
execution time (25 minutes or more), we prefer submissions | ||
in Python file format. | ||
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## Maintaining Tutorials | ||
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When you submit a new tutorial, we encourage you to keep it in sync | ||
with the latest PyTorch updates and features. Additionally, we may | ||
contact you to review any PRs, issues, and other related matters to | ||
ensure the tutorial remains a valuable resource. | ||
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Please note the following: | ||
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* If a tutorial breaks against the main branch, it will | ||
be excluded from the build and an issue will be filed against it, | ||
with the author/maintainer notified. If the issue is not resolved | ||
within 90 days, the tutorial might be deleted from the repository. | ||
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* We recommend that each tutorial is reviewed at least once a year to | ||
ensure its relevance. | ||
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## Deleting Stale Tutorials | ||
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A tutorial might be considered stale when it no longer aligns with | ||
the latest PyTorch updates, features, or best practices or best | ||
practices: | ||
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* The tutorial is no longer functional due to changes in PyTorch or | ||
its dependencies | ||
* The tutorial has been superseded by a newer, more comprehensive, or | ||
more accurate tutorial | ||
* The tutorial does not run successfully in the (CI), indicating | ||
potential compatibility or dependency issues. | ||
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If a tutorial is deemed stale, we will attempt to contact the code owner, | ||
or someone from the tutorial mainatainers might attempt to update it. | ||
However, if despite those attempts we fail to fix it, the tutorial | ||
might be removed from the repository. |