Migrate PT2E to torchao using the new quant primitives
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triaged
- Dominant language
- Python
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- 5k
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- Avg merge
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- Merged PRs (30d)
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Description
🚀 The feature, motivation and pitch
This is recommendation 4 in post: https://fb.workplace.com/groups/pytorch.edge2.team/permalink/1168405054415345/
Alternatives
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Additional context
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RFC (Optional)
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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.
Research direction
The issue names PT2E and torchao but provides no files, tests, or entry points. Start by locating the PT2E quantization code and its current quantization primitives, then determine the intended torchao primitives and migration scope with maintainers. Done means the migration is implemented and its relevant tests pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- embedded-iot, machine-learning
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100