The question of discriminator adversarial loss

[zhangyonle]

criteria/loss.py
loss_adversarial = criterion(real_pred, real_target) + criterion(fake_pred, fake_target) +
criterion(real_pred_edge, edge) + criterion(fake_pred_edge, edge)
I think the former three "criterion(real_pred, real_target), criterion(fake_pred, fake_target), criterion(real_pred_edge, edge)" are right, but the last one "criterion(fake_pred_edge, edge)", I think the second parameter is the "non-truth edge" instead of "the ground_truth edge".
I need your help to help me to understand the "criterion(fake_pred_edge, edge)".