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Last active June 7, 2024 06:23
Multi-node-training on slurm with PyTorch

Multi-node-training on slurm with PyTorch

What's this?

  • A simple note for how to start multi-node-training on slurm scheduler with PyTorch.
  • Useful especially when scheduler is too busy that you cannot get multiple GPUs allocated, or you need more than 4 GPUs for a single job.
  • Requirement: Have to use PyTorch DistributedDataParallel(DDP) for this purpose.
  • Warning: might need to re-factor your own code.
  • Warning: might be secretly condemned by your colleagues because using too many GPUs.
TengdaHan /
Created May 25, 2016 00:43 — forked from jxson/ template


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