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19 changes: 4 additions & 15 deletions distributed.rst
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,7 @@ There are a few ways you can perform distributed training in
PyTorch with each method having their advantages in certain use cases:

* `DistributedDataParallel (DDP) <#learn-ddp>`__
* `Fully Sharded Data Parallel (FSDP) <#learn-fsdp>`__
* `Fully Sharded Data Parallel (FSDP2) <#learn-fsdp>`__
* `Tensor Parallel (TP) <#learn-tp>`__
* `Device Mesh <#device-mesh>`__
* `Remote Procedure Call (RPC) distributed training <#learn-rpc>`__
Expand Down Expand Up @@ -60,28 +60,18 @@ Learn DDP

.. _learn-fsdp:

Learn FSDP
Learn FSDP2
----------

.. grid:: 3

.. grid-item-card:: :octicon:`file-code;1em`
Getting Started with FSDP
Getting Started with FSDP2
:link: https://pytorch.org/tutorials/intermediate/FSDP_tutorial.html?utm_source=distr_landing&utm_medium=FSDP_getting_started
:link-type: url

This tutorial demonstrates how you can perform distributed training
with FSDP on a MNIST dataset.
+++
:octicon:`code;1em` Code

.. grid-item-card:: :octicon:`file-code;1em`
FSDP Advanced
:link: https://pytorch.org/tutorials/intermediate/FSDP_advanced_tutorial.html?utm_source=distr_landing&utm_medium=FSDP_advanced
:link-type: url

In this tutorial, you will learn how to fine-tune a HuggingFace (HF) T5
model with FSDP for text summarization.
with FSDP2 on a transformer model
+++
:octicon:`code;1em` Code

Expand Down Expand Up @@ -196,7 +186,6 @@ Custom Extensions
intermediate/ddp_tutorial
intermediate/dist_tuto
intermediate/FSDP_tutorial
intermediate/FSDP_advanced_tutorial
intermediate/TCPStore_libuv_backend
intermediate/TP_tutorial
intermediate/pipelining_tutorial
Expand Down