code: def reorder_encoder_out(self, encoder_outs, new_order):
      encoder_outs = [
          model.encoder.reorder_encoder_out(encoder_out, new_order)
          for model, encoder_out in zip(self.models, encoder_outs)
      ]
      return encoder_outs
  
imports: import math
  import torch
  import torch.nn.functional
  from fairseq.models.nat import _apply_del_words, _apply_ins_masks, _apply_ins_words, _fill, _skip, _skip_encoder_out
label_desc: Use image node_id 2 for calling the _EnsembleModelEncoder obj's underlying member method code with example usage: obj.reorder_encoder_out(encoder_outs, new_order) and returns: encoder_outs