PerceptualLoss to get features extracted from pretrained VGG19

PerceptualLoss

class VGGLoss(nn.Module):
    def __init__(self):
        super().__init__()
        self.vgg = VGG19().cuda()
        self.criterion = nn.L1Loss()
        self.weights = [1.0 / 32, 1.0 / 16, 1.0 / 8, 1.0 / 4, 1.0]

    def forward(self, x, y):
        x_vgg, y_vgg = self.vgg(x), self.vgg(y)
        loss = 0
        for i in range(len(x_vgg)):
            loss += self.weights[i] * self.criterion(x_vgg[i], y_vgg[i].detach())
        return loss