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Fix DCP doc underline (meta-pytorch#2848)
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docs/source/deep_dives/checkpointer.rst

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@@ -267,7 +267,7 @@ for testing or for loading quantized models for generation.
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:class:`DistributedCheckpointer <torchtune.training.DistributedCheckpointer>`
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
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This checkpointer reads and writes checkpoints in a distributed format using Pytorch Distributed Checkpointing (DCP).
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The output format is DCP's default format, which saves the state dict across all ranks, as seperate files for each rank. This differs

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