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d425da8bf3
Fixes #ISSUE_NUMBER Pull Request resolved: https://github.com/pytorch/pytorch/pull/100176 Approved by: https://github.com/albanD, https://github.com/malfet
73 lines
2.2 KiB
ReStructuredText
73 lines
2.2 KiB
ReStructuredText
.. role:: hidden
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:class: hidden-section
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Distributed Checkpoint - torch.distributed.checkpoint
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=====================================================
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Distributed Checkpoint (DCP) support loading and saving models from multiple ranks in parallel.
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It handles load-time resharding which enables saving in one cluster topology and loading into another.
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DCP is different than `torch.save` and `torch.load` in a few significant ways:
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* It produces multiple files per checkpoint, with at least one per rank.
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* It operates in place, meaning that the model should allocate its data first and DCP uses that storage instead.
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The entrypoints to load and save a checkpoint are the following:
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.. automodule:: torch.distributed.checkpoint
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.. currentmodule:: torch.distributed.checkpoint
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.. autofunction:: load_state_dict
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.. autofunction:: save_state_dict
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This `example <https://github.com/pytorch/pytorch/blob/main/torch/distributed/checkpoint/examples/fsdp_checkpoint_example.py>`_ shows how to use Pytorch Distributed Checkpoint to save a FSDP model.
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The following types define the IO interface used during checkpoint:
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.. autoclass:: torch.distributed.checkpoint.StorageReader
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:members:
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.. autoclass:: torch.distributed.checkpoint.StorageWriter
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:members:
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The following types define the planner interface used during checkpoint:
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.. autoclass:: torch.distributed.checkpoint.LoadPlanner
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:members:
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.. autoclass:: torch.distributed.checkpoint.LoadPlan
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:members:
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.. autoclass:: torch.distributed.checkpoint.ReadItem
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:members:
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.. autoclass:: torch.distributed.checkpoint.SavePlanner
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:members:
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.. autoclass:: torch.distributed.checkpoint.SavePlan
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:members:
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.. autoclass:: torch.distributed.checkpoint.WriteItem
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:members:
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We provide a filesystem based storage layer:
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.. autoclass:: torch.distributed.checkpoint.FileSystemReader
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:members:
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.. autoclass:: torch.distributed.checkpoint.FileSystemWriter
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:members:
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We provide default implementations of `LoadPlanner` and `SavePlanner` that
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can handle all of torch.distributed constructs such as FSDP, DDP, ShardedTensor and DistributedTensor.
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.. autoclass:: torch.distributed.checkpoint.DefaultSavePlanner
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:members:
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.. autoclass:: torch.distributed.checkpoint.DefaultLoadPlanner
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:members:
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