snapshot...

modules/GSOC/E2_ESRGAN/lib/utils.py

@@ -205,6 +205,7 @@ def RelativisticAverageLoss(non_transformed_disc, type_="G"):
     fake_loss = tf.nn.sigmoid_cross_entropy_with_logits(
         labels=tf.ones_like(fake_logits), logits=fake_logits)
     return real_loss + fake_loss
+
   if type_ == "G":
     loss = loss_G
   elif type_ == "D":