code: def forward(self, input, seq_lengths):
      input = rnn_utils.pack_padded_sequence(
          input, seq_lengths, self.batch_first
      )
      rets = self.model(input)
      ret, rets = rets[0], rets[1:]
      ret, _ = rnn_utils.pad_packed_sequence(ret, self.batch_first)
      return list([ret] + list(rets))
  
file_path: pytorch/test/onnx/model_defs/rnn_model_with_packed_sequence.py
imports: from torch import nn
  from torch.nn.utils import rnn
label_desc: Use image node_id 2 for calling the RnnModelWithPackedSequenceWithoutState obj's underlying member method code with example usage: obj.forward(input, seq_lengths) and returns: list