next

cyclegan/test.py

@@ -70,9 +70,9 @@ if __name__ == '__main__':
         model.set_input(data)  # unpack data from data loader
         with torch.no_grad():
             model.forward_noattack()
-        # if i == 0:
-        #     input_adv, perturb = model.attack()
-        input_adv, perturb = model.attack()
+        if i == 0:
+            input_adv, perturb = model.attack()
+        # input_adv, perturb = model.attack()
         with torch.no_grad():
             model.forward_attack(perturb)
             model.compute_visuals()