Source: /losses/standard_loss.py​
criterion = torch.nn.BCEWithLogitsLoss()g_loss = criterion(d_fake, torch.ones_like(d_fake))d_loss = criterion(d_real, torch.ones_like(d_real)) + criterion(d_fake, torch.zeros_like(d_fake))
Configurations: /losses/standard_loss/​
{"class": "class:hypergan.losses.standard_loss.StandardLoss"}