Feature maps from 1st layer of each discriminator not included

[njellinas]

I noticed that when saving feature maps for the GAN loss there is the condition if i > 0, that means that the feature maps of the first convolutional layer are not considered. Is this an optimization trick? Does the training work better this way?

[WhiteTeaDragon]

Good question, I would also like to know the answer!