deepspeedai / deepspeedai/DeepSpeedExamples
When running step3, the error "CUDA error: misaligned address"?
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Description
When running step3, the error "CUDA error: misaligned address
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions." occurred. Is this caused by insufficient graphics memory?
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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 reproducing the step3 run and follow the issue's suggestion to set CUDA_LAUNCH_BLOCKING=1 so the failing operation is identified. Check whether the resulting traceback distinguishes insufficient graphics memory from a misaligned CUDA access; done means documenting the cause and a verified resolution, but no file or test is named.
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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
- 18/100