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Because there is no need to update netF during training.
If we use DistributedDataParallel for netF and we do not update netF, then errors will be raised.
Thanks for the great project. Looking through code, I noticed that in SRGAN_model.py there are such lines:
can you please provide motivation of not wrapping netF with DistributedDataParallel
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