Probably that's a mistake , otherwise you are using convolution instead convolution Transposed in the Generator ,
which is absurd form my perspective. and I looked on the original implementation in Tensorflow , that has been published with the article , it support my idea .
https://github.com/tkarras/progressive_growing_of_gans/blob/master/networks.py
-- additionaly can you explaine plaise the generalized_drop_out, there are many mods , but only "prop" mod used !!
i need answers so badly, thank you for you effort and for the sharing