microsoft / microsoft/onnxruntime
[Documentation] QNN Model Usability Checker
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documentation
ep:QNN
platform:mobile
- Dominant language
- C++
- Stars
- 21.9k
- Forks
- 4.2k
- Avg merge
- 4d 11h
- Merged PRs (30d)
- 184
Description
Describe the documentation issue
Would it be possible to develop an extension of the Model Usability Checker that considers QNN support (including GPU, DSP, and HTP backends)?
Page / URL
https://onnxruntime.ai/docs/tutorials/mobile/helpers/model-usability-checker.html
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 with the Model Usability Checker page at https://onnxruntime.ai/docs/tutorials/mobile/helpers/model-usability-checker.html. Determine how the checker should represent QNN support across GPU, DSP, and HTP backends, then define the documentation and checker changes needed. Done means the requested QNN coverage is implemented and documented on that page.
Written by the indexing model from the issue text.
Assessment
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100