qnn
Nobody has claimed this yet.
Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- android
- Domain
- machine-learning, mobile-dev
Research direction
The issue does not name a file, test, or entry point. Start by reviewing the repository's existing Android inference examples and checking how Qualcomm NPU support is represented; done means providing a clear, runnable sample or documenting that support is unavailable.
Written by the indexing model from the issue text.
Description
Hello, is there any sample code for using Qualcomm npu inference for Android devices?
- Dominant language
- C++
- Stars
- 1.7k
- Forks
- 418
- PR merge metrics
- No merged PRs in 30d
Getting set up
Starts the project's dev container in your browser, under your own GitHub account.
- No Dockerfile or Docker Compose file
- No pull request template
- No contributing 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.
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