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remove fsdp1 from distributed homepage (#3479)
* remove fdsp1 from distributed homepage * remove fsdp1 advanced tutorial from navigation
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distributed.rst

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@@ -12,7 +12,7 @@ There are a few ways you can perform distributed training in
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PyTorch with each method having their advantages in certain use cases:
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* `DistributedDataParallel (DDP) <#learn-ddp>`__
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* `Fully Sharded Data Parallel (FSDP) <#learn-fsdp>`__
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* `Fully Sharded Data Parallel (FSDP2) <#learn-fsdp>`__
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* `Tensor Parallel (TP) <#learn-tp>`__
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* `Device Mesh <#device-mesh>`__
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* `Remote Procedure Call (RPC) distributed training <#learn-rpc>`__
@@ -60,28 +60,18 @@ Learn DDP
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.. _learn-fsdp:
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Learn FSDP
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Learn FSDP2
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----------
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.. grid:: 3
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.. grid-item-card:: :octicon:`file-code;1em`
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Getting Started with FSDP
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Getting Started with FSDP2
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:link: https://pytorch.org/tutorials/intermediate/FSDP_tutorial.html?utm_source=distr_landing&utm_medium=FSDP_getting_started
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:link-type: url
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This tutorial demonstrates how you can perform distributed training
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with FSDP on a MNIST dataset.
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:octicon:`code;1em` Code
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.. grid-item-card:: :octicon:`file-code;1em`
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FSDP Advanced
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:link: https://pytorch.org/tutorials/intermediate/FSDP_advanced_tutorial.html?utm_source=distr_landing&utm_medium=FSDP_advanced
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:link-type: url
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In this tutorial, you will learn how to fine-tune a HuggingFace (HF) T5
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model with FSDP for text summarization.
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with FSDP2 on a transformer model
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:octicon:`code;1em` Code
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@@ -196,7 +186,6 @@ Custom Extensions
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intermediate/ddp_tutorial
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intermediate/dist_tuto
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intermediate/FSDP_tutorial
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intermediate/FSDP_advanced_tutorial
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intermediate/TCPStore_libuv_backend
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intermediate/TP_tutorial
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intermediate/pipelining_tutorial

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