I believe the [Discriminator loss](https://github.com/ZPdesu/SEAN/blob/04c7536ff3fecd2d1a09c9ae046a1144636033a5/models/networks/loss.py#L57) is non-functional as the gradient is cut by the hinge loss. The discriminator still trains and indirectly impacts training via the feature loss.