(self, lambda_=10)
| 81 | |
| 82 | class TorchWGANGPLoss(nn.Module): |
| 83 | def __init__(self, lambda_=10): |
| 84 | self.lambda_ = torchify([lambda_]) |
| 85 | super(TorchWGANGPLoss, self).__init__() |
| 86 | |
| 87 | def forward(self, Y_real, Y_fake, gradInterp): |
| 88 | GY_fake = Y_fake.copy() |