Method forward

models/template_model.py:83–85

Run forward pass. This will be called by both functions and .

(self)

        self.image_paths = input['A_paths' if AtoB else 'B_paths']  # get image paths

    def forward(self):
        """Run forward pass. This will be called by both functions <optimize_parameters> and <test>."""
        self.output = self.netG(self.data_A)  # generate output image given the input data_A

    def backward(self):
        """Calculate losses, gradients, and update network weights; called in every training iteration"""