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distributed.rst

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@@ -16,6 +16,7 @@ PyTorch with each method having their advantages in certain use cases:
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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>`__
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* `Monarch Framework <#learn-monarch>`__
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* `Custom Extensions <#custom-extensions>`__
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Read more about these options in `Distributed Overview <https://docs.pytorch.org/tutorials/beginner/dist_overview.html?utm_source=distr_landing>`__.
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:octicon:`code;1em` Code
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.. _learn-monarch:
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Learn Monarch
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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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Interactive Distributed Applications with Monarch
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:link: https://docs.pytorch.org/tutorials/intermediate/monarch_distributed_tutorial.html
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:link-type: url
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Learn how to use Monarch's actor framework
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:octicon:`code;1em` Code
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.. _custom-extensions:
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Custom Extensions

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