Add checkpointing support for DTensors #17
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This is important because it will allow us to use our new checkpointing functionality with models that have been sharded using PyTorch's tensor parallel wrappers or FSDP2, which both use
DTensorunder the hood.Caveats: currently I've only implemented this for 1D and 2D DTensors. Supporting higher dimensional DTensors will require a more elegant solution.