Lightning-AI / Lightning-AI/pytorch-lightning
CI Testing ROCm
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Nobody has claimed this yet.
ci
feature
help wanted
- Dominant language
- Python
- Stars
- 31.4k
- Forks
- 3.8k
- Avg merge
- 6d 7h
- Merged PRs (30d)
- 6
Description
Since PyTorch now ships ROCm binaries for AMD GPUs we should test against it.
cc @Borda
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
No file or test entry point is named. Start by reviewing the repository's existing CI configuration and PyTorch test workflows, then determine where ROCm coverage belongs; done means the CI setup exercises the project against PyTorch's ROCm binaries.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- ci-cd, machine-learning
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100