code: def test_script_stacked_lnlstm(
      seq_len, batch, input_size, hidden_size, num_layers
  ):
      inp = torch.randn(seq_len, batch, input_size)
      states = [
          LSTMState(
              torch.randn(batch, hidden_size),
              torch.randn(batch, hidden_size),
          )
          for _ in range(num_layers)
      ]
      rnn = script_lnlstm(input_size, hidden_size, num_layers)
  
      # just a smoke test
      out, out_state = rnn(inp, states)
  
imports: import numbers
  import warnings
  from collections import namedtuple
  from typing import List, Tuple
  import torch
  import torch.jit
  import torch.nn
  from torch import Tensor
  from torch.nn import Parameter
label_desc: Use image node_id 11 for calling a global function with example usage: test_script_stacked_lnlstm(seq_len, batch, input_size, hidden_size, num_layers) without return types