CUDA_LAUNCH_BLOCKING=1、TORCH_USE_CUDA_DSA
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- Python
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Description
bash run.sh finetune_moss.py
出现异常
RuntimeError: CUDA error: out of memory
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.
cuda pytorch版本： 各种都测试了，报错就是不变
Contributor guide
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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 report with bash run.sh finetune_moss.py and read the relevant execution path in finetune_moss.py. Check the reported CUDA and PyTorch setup details, then document a reproducible cause and a verified resolution for the CUDA out-of-memory error.
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
- 20/100