code: def get_initializers(self) -> List[Tuple[str, mx.init.Initializer]]:
          
          patterns_vals = []
          # Load from args/auxs
          for k in self.args.keys():
              patterns_vals.append((k, mx.init.Load({k: self.args[k]})))
          for k in self.auxs.keys():
              patterns_vals.append((k, mx.init.Load({k: self.auxs[k]})))
          # Initialize
          for k in self.names:
              patterns_vals.append((k, mx.init.Xavier(rnd_type='uniform', factor_type='avg', magnitude=3)))
  
          return patterns_vals
docs: Get the initializers of the network, considering the pretrained models.
  
          :return: List of tuples (string name, mxnet initializer)