code: def run_round_results(self, out):
      """Called from logging/logging_run.py
  
      THE MAIN FUNCTION FOR CREATING RESULTS FOR EACH ROUNDself.
      Takes in the history object from model.fit() and handles it.
  
      NOTE: The epoch level data will be dropped here each round.
  
      """
  
      self._round_epochs = len(list(out.history.values())[0])
  
      _round_result_out = [self._round_epochs]
  
      # record the last epoch result
      for key in out.history.keys():
          _round_result_out.append(out.history[key][-1])
  
      # record the round hyper-parameters
      for key in self.round_params.keys():
          _round_result_out.append(self.round_params[key])
  
      return _round_result_out
  
label_desc: Use image node_id 1 for calling a global function with example usage: run_round_results(out) and returns: _round_result_out