Exemple #1
0
def init_models_res(opt):
    # generator initialization:
    netG = models.Generator(opt).to(opt.device)
    netG.apply(models.weights_init)

    # discriminator initialization:
    netD = models.WDiscriminator(opt).to(opt.device)
    netD.apply(models.weights_init)

    return netD, netG
Exemple #2
0
def init_models_res(opt):
    # generator initialization:
    netG = models.Generator(opt).to(opt.device)
    netG.apply(models.weights_init)
    if opt.netG != '':
        netG.load_state_dict(torch.load(opt.netG))

    # discriminator initialization:
    netD = models.WDiscriminator(opt).to(opt.device)
    netD.apply(models.weights_init)
    if opt.netD != '':
        netD.load_state_dict(torch.load(opt.netD))

    return netD, netG