5547ddeb618eb9d8b3dbbee5b4313dc697d78b09,vocoder/layers/losses.py,MSEGLoss,forward,#MSEGLoss#Any#,90

Before Change

     Mean Squared Generator Loss 
    // pylint: disable=no-self-use
    def forward(self, score_fake):
        loss_fake = torch.mean(torch.sum(torch.pow(score_fake, 2), dim=[1, 2]))
        return loss_fake


class HingeGLoss(nn.Module):

After Change

     Mean Squared Generator Loss 
    // pylint: disable=no-self-use
    def forward(self, score_fake):
        loss_fake = F.mse_loss(score_fake, score_fake.new_ones(score_fake.shape))
        return loss_fake


class HingeGLoss(nn.Module):

Instances