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_posts/2024-07-24-pytorch2-4.md
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`torch.distributed.pipelining` provides a toolkit that allows for easy implementation of pipeline parallelism on general models while also offering composability with other common PyTorch distributed features like DDP, FSDP, or tensor parallel. | ||
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For more information on this please refer to our [documentation](https://pytorch.org/docs/main/notes/get_start_xpu.html) and [tutorial](https://pytorch.org/tutorials/intermediate/pipelining_tutorial.html). |
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have the wrong link for documentation: https://pytorch.org/docs/main/distributed.pipelining.htm
Thanks for adding the blurb though!
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For more information on this please refer to our [documentation](https://pytorch.org/docs/main/notes/get_start_xpu.html) and [tutorial](https://pytorch.org/tutorials/intermediate/pipelining_tutorial.html). | |
For more information on this please refer to our [documentation](https://pytorch.org/docs/main/distributed.pipelining.html) and [tutorial](https://pytorch.org/tutorials/intermediate/pipelining_tutorial.html). |
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Updated
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LGTM
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