  TRANSFORM_PRC = 115.
  
  
  class Trainer():
  #     
      _random_transform_args = {
          'rotation_range': 10 * (TRANSFORM_PRC * .01),
          'zoom_range': 0.05 * (TRANSFORM_PRC * .01),
          'shift_range': 0.05 * (TRANSFORM_PRC * .01),
          'random_flip': 0.4 * (TRANSFORM_PRC * .01),
 
</s> remove 
        #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)
 </s> add  </s> remove         loss_B = self.model.autoencoder_B.train_on_batch(warped_B, target_B)        
 </s> add         loss_B = self.model.autoencoder_B.train_on_batch(warped_B, target_B)
        
        self.model._epoch_no += 1         </s> remove             time.strftime("%H:%M:%S"), iter_no, self._clock()-when, loss_A, loss_B),
 </s> add             time.strftime("%H:%M:%S"), self.model._epoch_no, self._clock()-when, loss_A, loss_B),
  TRANSFORM_PRC = 115.
  
  
  class Trainer():
    
      _random_transform_args = {
          'rotation_range': 10 * (TRANSFORM_PRC * .01),
          'zoom_range': 0.05 * (TRANSFORM_PRC * .01),
          'shift_range': 0.05 * (TRANSFORM_PRC * .01),
          'random_flip': 0.4 * (TRANSFORM_PRC * .01),
keep keep keep keep replace keep keep keep keep keep
 altered trainer (#425)

altered trainer to accommodate with model change 
plugins/Model_OriginalHighRes/Trainer.py