[CoreML] partitioner recognizes new torchao quant primitives
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- Dominant language
- Python
- Stars
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- Forks
- 1.2k
- Avg merge
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- Merged PRs (30d)
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Description
🚀 The feature, motivation and pitch
Title
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
No file, test, or entry point is named. Start by locating the CoreML partitioner and the torchao quant primitives it needs to recognize; done means the supported primitives are partitioned correctly and the relevant validation passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, mobile-dev
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100