microsoft / microsoft/winml-cli
Fix e2e regressions in HF export mask handling for QNN path
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Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 40
- Forks
- 11
- Avg merge
- 1d 8h
- Merged PRs (30d)
- 50
Description
Summary
- DistilBERT fill-mask/question-answering and BLIP image-to-text e2e regressions
Root causes
- SDPA attention mask dtype mismatch
- decoder kwargs path incompatibility
- BLIP decoder mask shape mismatch
Fixes
- export IO bool normalization for binary attention_mask
- robust transformers compat patching
- decoder_wrapper kwargs support
- BLIP 2D mask pass-through
Validation
- focused unit tests passed
- e2e passed: question-answering, fill-mask, image-to-text-fp16
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 running the focused unit tests mentioned in the issue, then reproduce the three named e2e cases: question-answering, fill-mask, and image-to-text-fp16. Trace the export IO bool normalization, transformers compatibility patching, decoder_wrapper kwargs handling, and BLIP 2D mask pass-through; done means the focused tests and all three e2e cases pass.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning, testing-qa
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Needs clarification
- Newbie friendliness
- 38/100