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[distributed] point to fsdp2 and remove fsdp1 in distributed overview #3477

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Merged
merged 5 commits into from
Jul 21, 2025
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[distributed] point to fsdp2 and remove fsdp1 in distributed overview #3477

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29e626b
[distributed] point to fsdp2 and remove fsdp1 in distributed overview
weifengpy Jul 20, 2025
957f0cb
use fsdp2
weifengpy Jul 20, 2025
df98461
mark fsdp1 tutorial as deprecated and no page is linking to fsdp1
weifengpy Jul 20, 2025
7f42e47
revert fsdp1 tutorial change
weifengpy Jul 20, 2025
2f663ba
Merge branch 'pytorch:main' into ptd-overview
weifengpy Jul 21, 2025
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10 changes: 5 additions & 5 deletions beginner_source/dist_overview.rst
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@@ -1,6 +1,6 @@
PyTorch Distributed Overview
============================
**Author**: `Will Constable <https://github.com/wconstab/>`_
**Author**: `Will Constable <https://github.com/wconstab/>`_, `Wei Feng <https://github.com/weifengpy>`_

.. note::
|edit| View and edit this tutorial in `github <https://github.com/pytorch/tutorials/blob/main/beginner_source/dist_overview.rst>`__.
Expand All @@ -26,7 +26,7 @@ Parallelism APIs
These Parallelism Modules offer high-level functionality and compose with existing models:

- `Distributed Data-Parallel (DDP) <https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html>`__
- `Fully Sharded Data-Parallel Training (FSDP) <https://pytorch.org/docs/stable/fsdp.html>`__
- `Fully Sharded Data-Parallel Training (FSDP2) <https://pytorch.org/docs/stable/distributed.fsdp.fully_shard.html>`__
- `Tensor Parallel (TP) <https://pytorch.org/docs/stable/distributed.tensor.parallel.html>`__
- `Pipeline Parallel (PP) <https://pytorch.org/docs/main/distributed.pipelining.html>`__

Expand Down Expand Up @@ -74,11 +74,11 @@ When deciding what parallelism techniques to choose for your model, use these co

* See also: `Getting Started with Distributed Data Parallel <../intermediate/ddp_tutorial.html>`__

#. Use `FullyShardedDataParallel (FSDP) <https://pytorch.org/docs/stable/fsdp.html>`__ when your model cannot fit on one GPU.
#. Use `FullyShardedDataParallel (FSDP2) <https://pytorch.org/docs/stable/distributed.fsdp.fully_shard.html>`__ when your model cannot fit on one GPU.

* See also: `Getting Started with FSDP <https://pytorch.org/tutorials/intermediate/FSDP_tutorial.html>`__
* See also: `Getting Started with FSDP2 <https://pytorch.org/tutorials/intermediate/FSDP_tutorial.html>`__

#. Use `Tensor Parallel (TP) <https://pytorch.org/docs/stable/distributed.tensor.parallel.html>`__ and/or `Pipeline Parallel (PP) <https://pytorch.org/docs/main/distributed.pipelining.html>`__ if you reach scaling limitations with FSDP.
#. Use `Tensor Parallel (TP) <https://pytorch.org/docs/stable/distributed.tensor.parallel.html>`__ and/or `Pipeline Parallel (PP) <https://pytorch.org/docs/main/distributed.pipelining.html>`__ if you reach scaling limitations with FSDP2.

* Try our `Tensor Parallelism Tutorial <https://pytorch.org/tutorials/intermediate/TP_tutorial.html>`__

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