[XNNPACK] support 8d4w in PT2E flow
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triaged
- Dominant language
- Python
- Stars
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- Forks
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- Avg merge
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Description
🚀 The feature, motivation and pitch
Add support for 8da4w to PT2E XNNPACKQuantizer: D67619087
Alternatives
No response
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
Start by locating the PT2E XNNPACKQuantizer implementation and reviewing the referenced change D67619087. Compare existing quantization flows and tests for nearby configurations, then verify that the requested 8da4w support is covered by the relevant test suite.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100