Merlin-721

In the 'Train the generator' section of solver.py: self.G = self.G.train() self.P = self.P.train() # G Identity mapping loss x_f0 = torch.cat((x_real_org, f0_org), dim=-1) x_f0_intrp = self.Interp(x_f0, len_org) f0_org_intrp =...

I've changed some of the code around since, but hopefully this helps a bit. Both 'org' and 'trg' are just different instances. I had just tried applying some of the...

Is it possible to train with 512 bins at the model input and 80 bins at the output?