pytorch / pytorch/executorch

Implement portable kernel: _adaptive_avg_pool2d_backward.out

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module: kernels triaged
Dominant language
Python
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Description

cc @larryliu0820

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the portable-kernel entry point for _adaptive_avg_pool2d_backward.out and any adjacent operator implementations or tests. Determine the expected behavior from existing coverage, then add support and verify that the operator's backward path passes the relevant tests.

Written by the indexing model from the issue text.

Assessment

Tech stack
pytorch
Domain
embedded-iot, machine-learning
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
32/100

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