Gradient Penalty with Auxiliary classifier

[dougsouza]

Gradient penalty claculation should change when D has an auxiliary classifier or the gradient penalty should only be calculated over the real/fake output? Is there any intuition behind of whatever is the best solution?

Thanks!

[Johnson-yue]

@dougsouza do you implement it？？

[dougsouza]

@Johnson-yue, yes. I tried gradient penalty only in the real/fake output of the network. But I didn't pursue much, I went back to spectral normalization.

[Johnson-yue]

Maybe spectral normalization is in common use