[OSS CI] Learn from PyTorch core CI practices
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@nil-is-all is already working on this.
Since May 30, 2026.
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Description
Objective
Study how PyTorch core optimizes its CI infrastructure and identify patterns applicable to ExecuTorch.
Action Items
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Research PyTorch core's CI optimization strategies:
- Selective/conditional testing (target determinator)
- Job deduplication and caching
- Workflow structure and fan-out patterns
- How they handle flaky test management
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Cost governance and budget guardrails
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Meet with PyTorch CI infra team to understand their approach and lessons learned
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Document which patterns are applicable to ExecuTorch given our repo structure and test landscape
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Propose an adoption plan with priorities
Success Criteria
- Document summarizing PyTorch core CI practices and ExecuTorch applicability
- At least 1-2 practices adopted or scheduled for adoption
- Discussion incorporated into H2 planning
References
PyTorch HUD: https://hud.pytorch.org/
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Assessment
This issue has not been assessed yet.