Hi,
Could you specify what do you mean by “Wasserstein loss of the genertor”? And how can the generator loss keep changing (increasing) while the discriminator one does not change? Could you also provide information about your learning procedure?



 JoshTang:

But I found that the Wasserstein loss of the generator continues to rise, is this divergence?
What situation will cause this kind of thing?


From my experience and my understanding of what you call “Wasserstein loss of the genertor”, what matters for WGAN is the difference between the “Wasserstein loss of the genertor” and the “Wasserstein loss of the discriminator”. Those two losses considered separately do not really mean a lot.
One very surprising thing in your plots to me is that while training is not over for the generator, it seems like discriminator loss is very stable at the end your your plot.