Rework Dynamic Benchmarks To Actually Vary Shapes
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- Dominant language
- Python
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- 1k
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Description
See: https://github.com/pytorch/pytorch/issues/113063
cross-ref for the issue here, but let's consolidate conversation on the other issue.
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 reading the cross-referenced issue, PyTorch issue #113063, because this issue explicitly consolidates discussion there. Use that issue to identify the benchmark entry points and the expected shape variation; this issue is done when dynamic benchmarks actually vary shapes as specified in the consolidated discussion.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- performance
- Issue type
- Refactor
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100