                             for idx, name in enumerate(output_types)])
          logger.debug(retval)
          return retval
  
      def _get_loss_functions(self):
          """ Set the loss functions.
  
          Returns
          -------
          list
 
</s> remove             retval.extend(["{}_{}{}".format(name, side,
                                            "" if output_types.count(name) == 1
                                            else "_{}".format(idx))
                           for idx, name in enumerate(output_types)])
        logger.debug(retval)
        return retval
 </s> add             self._names.extend(["{}_{}{}".format(name, side,
                                                 "" if output_types.count(name) == 1
                                                 else "_{}".format(idx))
                                for idx, name in enumerate(output_types)])
        logger.debug(self._names) </s> remove         Returns
        -------
        list
            A list of loss functions to apply to the model
 </s> add         Adds the loss functions to the :attr:`functions` dictionary.

        Parameters
        ----------
        output_names: list
            The output names from the model </s> remove 
        Returns
        -------
        list
            A list of names for the losses to be applied to the model
 </s> add  </s> remove     def configure(self, inputs, outputs):
 </s> add     def configure(self, model): </s> remove         """ list: The list of loss functions for the model. """
 </s> add         """ dict: The loss functions that apply to each model output. """
    def _get_loss_functions(self, output_names):
                             for idx, name in enumerate(output_types)])
          logger.debug(retval)
          return retval
  
    def _get_loss_functions(self, output_names):
          """ Set the loss functions.
  
          Returns
          -------
          list
keep keep keep keep replace keep keep keep keep keep
 training - Use explicit loss dictionaries to map to outputs 
plugins/train/model/_base.py