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Fixed links in process_group_cpp_extension_tutorial.rst #3157

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Nov 14, 2024
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Fixed links in process_group_cpp_extension_tutorial.rst #3157

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Update process_group_cpp_extension_tutorial.rst
sekyondaMeta Nov 12, 2024
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Merge branch 'main' into sekyondaMeta-deadlink-update-3
sekyondaMeta Nov 14, 2024
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Merge branch 'main' into sekyondaMeta-deadlink-update-3
svekars Nov 14, 2024
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5 changes: 2 additions & 3 deletions intermediate_source/process_group_cpp_extension_tutorial.rst
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Expand Up @@ -25,9 +25,8 @@ Basics

PyTorch collective communications power several widely adopted distributed
training features, including
`DistributedDataParallel <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html>`__,
`ZeroRedundancyOptimizer <https://pytorch.org/docs/stable/distributed.optim.html#torch.distributed.optim.ZeroRedundancyOptimizer>`__,
`FullyShardedDataParallel <https://github.com/pytorch/pytorch/blob/master/torch/distributed/_fsdp/fully_sharded_data_parallel.py>`__.
`DistributedDataParallel <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html>`__ and
`ZeroRedundancyOptimizer <https://pytorch.org/docs/stable/distributed.optim.html#torch.distributed.optim.ZeroRedundancyOptimizer>`__.
In order to make the same collective communication API work with
different communication backends, the distributed package abstracts collective
communication operations into a
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