Create tutorial_submission_policy.md

- Add a policy for new tutorials submissions

Author: svekars

tutorial_submission_policy.md

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+# PyTorch Tutorial Submission Policy
+
+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 our users and the evolution of the PyTorch framework itself. By following these
+guidelines, contributors can help us maintain a robust and informative educational environment.
+
+## Acceptance Criteria For New Tutorials
+We are committed to enhancing the learning experience for PyTorch users by providing high-quality
+tutorials. We accept new tutorials that adhere to one of the following use cases:
+
+* **Support for 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.
+
+* **Tutorials from PyTorch Partners:** We welcome tutorials from our partners who are actively
+  collaborating with us to grow the PyTorch ecosystem.
+  
+* **Direct Requests from PyTorch Maintainers:** If a PyTorch maintainer has directly reached out
+  to you to request a tutorial or otherwise, endorsed a tutorial, this indicates a specific need
+  within the community or the project.
+  
+* **Tutorials from the open-source community members:** We accept tutorials from the community
+  members. However, as we can't accept all of them, we have identified the process below.
+  Please read below before sending a PR.
+
+The first three use cases do not require following the submission process described below.
+If your tutorial falls under the fourth category, please read and follow the instructions in
+the **Submission Process For Community-Contributed Tutorials** section.
+
+## Submission Process For Community-Contributed Tutorials
+
+To maintain the quality and relevance of tutorials, community-contributed tutorials must undergo
+a review process. If you are interested in contributing a tutorial, please follow these steps:
+
+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 can't endorse one technology over another.
+   * These issues will be triaged by PyTorch maintainers on a case-by-case basis. 
+   * Link any supporting materials including discussions in other repositories".
+     
+1. **Await Approval:**
+   * Wait for a response from the PyTorch maintainers. They will review your proposal and
+     determine whether a tutorial on the proposed topic is desirable. **Do not submit a PR with
+     your tutorial** before you receive an approval.
+     
+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 where you received an 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 versus ``.rst``.
+     
+1. **Maintenance:**
+   * By submitting a new tutorial, you agree to maintain it up-to-date with the latest PyTorch
+     updates and new features, review issues and pull requests and bugs submitted against the
+     tutorials and overall take proactive actions to ensure quality of the tutorial.
+   * Each tutorial must be updated by its owners at least once a year. Tutorials that are
+     abandoned by the owners will be eventually deprecated.
+
+We reserve the right to decline any new tutorial submissions that do not follow this policy.