Implement portable kernel: _adaptive_avg_pool3d.out
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module: kernels
triaged
- Dominant language
- Python
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- 5k
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Description
cc @larryliu0820
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
The issue names only the _adaptive_avg_pool3d.out operator and does not identify files, tests, or an entry point. Start by locating the portable-kernel implementation and comparable adaptive average pooling operators in the ExecuTorch repository; done means the operator is implemented and its existing validation passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- embedded-iot, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100