lllyasviel / lllyasviel/FramePack
torch._scaled_mm is only supported on CUDA devices with compute capability >= 9.0 or 8.9
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- Python
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Description
I encountered a situation where there is a requirement for computing power. May I ask in which file can the limit on computing power be manually modified?
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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 locating the use of torch._scaled_mm in the repository and inspect how the CUDA compute-capability requirement is enforced. Determine whether the reported limit is configurable and document or implement the supported behavior, with a clear validation for the affected device; the issue does not name a file or test.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100