code: def _unpad_outputs(self, splitted_outputs, n_steps):
      return splitted_outputs[:n_steps]
  
imports: from typing import List, Optional
  import torch
  import torch.nn
  from ..losses.pytorch import MAE
  from ..common._base_recurrent import BaseRecurrent
  from ..common._modules import MLP
label_desc: Use image node_id 5 for calling the DRNN obj's underlying member method code with example usage: obj._unpad_outputs(splitted_outputs, n_steps) and returns: splitted_outputs