modelscope / modelscope/DiffSynth-Studio

使用多卡进行 Full training,遇到 “torch.distributed.DistNetworkError: The client socket has timed out after 1800000ms while trying to connect to”的问题

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Python
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Description

这个问题有什么好的办法规避吗?

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing the multi-GPU full-training failure described in the issue and inspect the reported torch.distributed.DistNetworkError timeout. The payload names no files, tests, or entry points; the work is complete when the connection-timeout cause is identified and a verified workaround is documented.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
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

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