[FEA] When sm < 90, no CUTLASS 3.0 GEMM templates
Open
Nobody has claimed this yet.
? - Needs Triage
feature request
inactive-30d
inactive-90d
- Dominant language
- C++
- Stars
- 10.5k
- Forks
- 2.1k
- Avg merge
- 3d 11h
- Merged PRs (30d)
- 7
Description
add CUTLASS 3.0 GEMM templates for sm < 90
resolve no suitable Cutlass GEMM configs for max-autotune mode issue https://github.com/pytorch/pytorch/issues/150314
Contributor guide
No contributing guide indexed for this repository
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 tracing the CUTLASS 3.0 GEMM template and configuration paths for architectures below sm 90, then review the linked PyTorch issue for the max-autotune failure context. Done means suitable CUTLASS GEMM configurations are available for sm < 90 and the reported no-suitable-configurations case is resolved.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- performance
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100