      
      def __init__(self, model, fn_A, fn_B, batch_size, *args):
          self.batch_size = batch_size
          self.model = model
  
          #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)
 
</s> remove         generator = TrainingDataGenerator(self.random_transform_args, 160, 6, zoom=2)
 </s> add  </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),
        from timeit import default_timer as clock
        self._clock = clock
        
      
      def __init__(self, model, fn_A, fn_B, batch_size, *args):
          self.batch_size = batch_size
          self.model = model
        from timeit import default_timer as clock
        self._clock = clock
        
  
          #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)
keep keep keep add keep keep keep keep
 OriginalHighRes 128 model update (#418)

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