          #generator = TrainingDataGenerator(self.random_transform_args, 160)
                  
          # make sre to keep zoom=2 or you won't get 128x128 vectors as input
          #generator = TrainingDataGenerator(self.random_transform_args, 220, 5, zoom=2)
          generator = TrainingDataGenerator(self.random_transform_args, 160, 6, zoom=2)
          #generator = TrainingDataGenerator(self.random_transform_args, 180, 7, zoom=2)
          
          self.images_A = generator.minibatchAB(fn_A, self.batch_size)
          self.images_B = generator.minibatchAB(fn_B, self.batch_size)
                  
 
</s> remove   
 </s> add         when = self._clock() </s> remove #TRANSFORM_PRC = 150.
 </s> add  </s> remove                         
        print("[{0}] [#{1:05d}] loss_A: {2:.5f}, loss_B: {3:.5f}".format(
            time.strftime("%H:%M:%S"), iter_no, loss_A, loss_B),
 </s> add                     
        print("[{0}] [#{1:05d}] [{2:.3f}s] loss_A: {3:.5f}, loss_B: {4:.5f}".format(
            time.strftime("%H:%M:%S"), iter_no, self._clock()-when, loss_A, loss_B),
          #generator = TrainingDataGenerator(self.random_transform_args, 160)
                  
          # make sre to keep zoom=2 or you won't get 128x128 vectors as input
          #generator = TrainingDataGenerator(self.random_transform_args, 220, 5, zoom=2)

          #generator = TrainingDataGenerator(self.random_transform_args, 180, 7, zoom=2)
          
          self.images_A = generator.minibatchAB(fn_A, self.batch_size)
          self.images_B = generator.minibatchAB(fn_B, self.batch_size)
                  
keep keep keep keep replace keep keep keep keep keep
 OriginalHighRes 128 model update (#418)

Required for OriginalHighRes Model to function 
plugins/Model_OriginalHighRes/Trainer.py