          print("[{}] [#{:05d}] {}".format(self._timestamp,
                                           self._model.iterations,
                                           output), end='\r')
  
      def train_one_step(self, viewer, timelapse_kwargs):
          """ Running training on a batch of images for each side.
  
          Triggered from the training cycle in :class:`scripts.train.Train`.
  
          Notes
 
</s> remove         print("[{}] [#{:05d}] {}".format(self._timestamp,
                                         self._model.iterations,
                                         output), end='\r')
 </s> add         output = "[{}] [#{:05d}] {}".format(self._timestamp, self._model.iterations, output)
        if not is_colab:
            print(output, end='\r')
        else:
            print(output) </s> remove     def __print_loss(self, loss):
 </s> add     def __print_loss(self, loss, is_colab):
    def train_one_step(self, viewer, timelapse_kwargs, is_colab):
          print("[{}] [#{:05d}] {}".format(self._timestamp,
                                           self._model.iterations,
                                           output), end='\r')
  
    def train_one_step(self, viewer, timelapse_kwargs, is_colab):
          """ Running training on a batch of images for each side.
  
          Triggered from the training cycle in :class:`scripts.train.Train`.
  
          Notes
keep keep keep keep replace keep keep keep keep keep
 lib,cli: Add suppressed colab flag 
plugins/train/trainer/_base.py