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Some doubts about gradient when train GAN
Hi, I have some doubts about step.5.2 update D network in line 924 of runGAN.py.
If we run loss.backward() in line 942 and line 953, and run optimizer.step() in line1156 and line1157, then gradients computed by line 942 and line 953 may be used to update G & D, while G should not be updated here in general.
Could you please share the codes?
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