Through this differentiable component, the loss of the discriminator is properly propagated to the generator and guide the tuning of the latter's parameters.
firstly, when training G, we replace the objective function given in Equation 5 with the l 2 -loss between A r and Ar, to maintain a reasonable scale of the gradient.