Trying to understand the training of PG-GAN with multiple class labels

Hi @github-pengge 
Thanks for the implementation!

I have a question, and I was wondering if I can get your thoughts: Does your implementation train on multiple classes and can generate images of a given input class (while testing)? Any insights on multi-class generation will be much appreciated. 

Thanks in advance!