Open kitaev-chen opened 2 years ago
People usually use multiple module & optimizer on GAN model, for example:
moduleA = Generator() moduleB = Discriminator() moduleC = Predictor()
so the corresponding optimizers are:
optG = optim.Adam(Generator.parameters(), ...) optD = optim.Adam(Discriminator.parameters(), ...) optP = optim.Adam(Predictor.parameters(), ...)
For single module, the example show:
model = Model() optimizer = optim.Adam([ {'params': model.parameters()}, {'params': awl.parameters(), 'weight_decay': 0} ])
For the multiple modules above, how to set the parameters in optimizers? I can guess two options but they might be wrong: option1:
optG = optim.Adam(list(Generator.parameters()), ...) optD = optim.Adam(list(Discriminator.parameters()), ...) optP = optim.Adam(list(Predictor.parameters())+list(awl.parameters()), ...)
option2:
optG = optim.Adam(list(Generator.parameters())+list(awl.parameters()), ...) optD = optim.Adam(list(Discriminator.parameters())+list(awl.parameters()), ...) optP = optim.Adam(list(Predictor.parameters())+list(awl.parameters()), ...)
@Mikoto10032 Which one is correct?
Thanks!
Same question. Have you solved it yet? Thank you
No, I'm still thinking about it.
People usually use multiple module & optimizer on GAN model, for example:
so the corresponding optimizers are:
For single module, the example show:
For the multiple modules above, how to set the parameters in optimizers? I can guess two options but they might be wrong: option1:
option2:
@Mikoto10032 Which one is correct?
Thanks!