modelscope / modelscope/DiffSynth-Studio
RuntimeError: aten.addmm.default: got mixed torch.Tensor and DTensor, need to convert all torch.Tensor to DTensor before calling distributed operators!
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- Dominant language
- Python
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Description
The Python script wan_14b_text_to_video_tensor_parallel.py is reporting an error. Have you successfully run it locally? Does it have any advantages compared to USP?
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 with wan_14b_text_to_video_tensor_parallel.py and run it locally to reproduce the mixed torch.Tensor and DTensor RuntimeError. Compare its behavior with USP as requested; done means the tensor-parallel script runs successfully and the practical differences or advantages are documented.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, pytorch
- Domain
- distributed-systems, machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100