Assert GPUDirect support when using CudaDeviceWorkspace
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- Dominant language
- C++
- Stars
- 1.5k
- Forks
- 368
- Avg merge
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- Merged PRs (30d)
- 3
Description
Otherwise REALLY weird errors pop up (see for example https://github.com/pytorch/pytorch/issues/2835)
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 locating CudaDeviceWorkspace and the code that selects or checks GPUDirect support. Read the linked PyTorch issue for the reported failure mode and inspect existing assertions or validation tests nearby. Done means unsupported GPUDirect usage is rejected clearly instead of producing the described downstream errors.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- distributed-systems
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100