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Why when I use distributed training, I get stuck here in "model = torch.nn.parallel.DistributedDataParallel(model.to(local_rank), device_ids=[local_rank], output_device=local_rank, find_unused_parameters=False)"?
The text was updated successfully, but these errors were encountered:
Hello, I did not come across this problem before. Can you provide more information about this issue? If you change to the single gpu training, will it have the similar problem?
Why when I use distributed training, I get stuck here in "model = torch.nn.parallel.DistributedDataParallel(model.to(local_rank), device_ids=[local_rank], output_device=local_rank, find_unused_parameters=False)"?
The text was updated successfully, but these errors were encountered: