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torch.distributed
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torch.distributed

Creator
Creator
Seonglae ChoSeonglae Cho
Created
Created
2023 Aug 19 17:23
Editor
Editor
Seonglae ChoSeonglae Cho
Edited
Edited
2025 Oct 15 15:38
Refs
Refs
torch.nn.parallel
TorchElastic
torch.distributed members
torch.distributed.c10d
torch.distributed.fsdp
torch.distributed.elastic
torchft
Monarch

 
  • NCCL
    → GPU communication (default, fastest)
  • Gloo
    → CPU and fallback communication (GPU possible but slower)
  • MPI
    → Communication via MPI process launcher (non-standard, rarely used)
 
 
 
Distributed communication package - torch.distributed — PyTorch 2.2 documentation
Please refer to PyTorch Distributed Overview for a brief introduction to all features related to distributed training.
Distributed communication package - torch.distributed — PyTorch 2.2 documentation
https://pytorch.org/docs/stable/distributed.html
Distributed communication package - torch.distributed — PyTorch 2.0 documentation
Community
Distributed communication package - torch.distributed — PyTorch 2.0 documentation
https://pytorch.org/docs/stable/distributed.html
 
 

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torch.distributed
Copyright Seonglae Cho