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How to use mutli-gpu for training? #11
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Hi, the bottleneck is that our inputs has variable length since we use sparse CNN. So if we are going to support multi-gpu training, we need to padding correctly I guess, or try to use distributed data parallel so that each GPU use a different process and set the batch size on each gpu still to be 1. |
@laoreja thanks, i think i can try the second method, which using |
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It seems that hplflownet now only support single gpu training, so how to modify it for using multi-gpu training?
thanks.
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