code: def forward(self, packed_input, recurrent_state):
      """Multi-step batch forward computation.
  
      Args:
          packed_input (object): Input sequences. Tensors must be packed in
              `torch.nn.utils.rnn.PackedSequence`.
          recurrent_state (object or None): Batched recurrent state.
              If set to None, it is initialized.
  
      Returns:
          object: Output sequences. Tensors will be packed in
              `torch.nn.utils.rnn.PackedSequence`.
          object or None: New batched recurrent state.
      """
      raise NotImplementedError
  
label_desc: Use image node_id 1 for calling the Recurrent obj's underlying member method code with example usage: obj.forward(packed_input, recurrent_state) without return types