Comments (1)
Hi @jkang1640,
The distributed optimizer in cherry is an alternative to DDP, so you don't need to wrap your model to distribute it. If you did, I believe it would simply average the gradients twice which leads to unnecessary communication overhead.
The example you linked uses cherry and not DDP because I'm not sure how DDP's backward reduction would work with second-order gradients -- I just haven't tested it thoroughly.
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