TransGAN
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This is a re-implementation of TransGAN: Two Pure Transformers Can Make One Strong GAN (NeurIPS 2021) in PyTorch.
How to train multiple Gpus? A direct use of nn.DataParallel(model) does not seem feasible.
I am wondering why there is no parameter to control the probability of argumentation. Does this mean that the discriminator has not seen the real data (non-argumented image)?
I am done trying to resolve it but couldn't do the thing, if anyone can help it would be a great support, i am trying to run it for generating...