                          loss_func.add_loss(face_loss,
                                             weight=self._config[multiplier] * 1.0,
                                             mask_channel=mask_channels[mask_channel])
                          self._add_l2_regularization_term(loss_func, mask_channel)
                      mask_channel += 1
  
              logger.debug("%s: (output_name: '%s', function: %s)", name, output_name, loss_func)
              self._funcs[output_name] = loss_func
          logger.debug("functions: %s", self._funcs)
  
 
</s> remove                                            mask_channel=mask_channels[mask_channel])
 </s> add                                            mask_channel=mask_channel) </s> remove                 mask_channel = 1
 </s> add                 channel_idx = 1
                    channel_idx += 1
                          loss_func.add_loss(face_loss,
                                             weight=self._config[multiplier] * 1.0,
                                             mask_channel=mask_channels[mask_channel])
                          self._add_l2_regularization_term(loss_func, mask_channel)
                    channel_idx += 1
  
              logger.debug("%s: (output_name: '%s', function: %s)", name, output_name, loss_func)
              self._funcs[output_name] = loss_func
          logger.debug("functions: %s", self._funcs)
  
keep keep keep keep replace keep keep keep keep keep
 bugfix: Training
  - Select correct channel for loss multiplier L2Reg 
plugins/train/model/_base.py