code: def forward(
      self,
      input: torch.Tensor,
      state: Tuple[torch.Tensor, torch.Tensor],
  ) -> Tuple[torch.Tensor, Tuple[torch.Tensor, torch.Tensor]]:
      inputs = input.unbind(0)
      outputs = []
      for i in range(len(inputs)):
          out, state = self.cell(inputs[i], state)
          outputs += [out]
      return torch.stack(outputs), state
  
imports: import math
  from typing import List, Optional, Tuple, Union
  import numpy
  import torch
  from nemo.utils import logging
label_desc: Use image node_id 2 for calling the LSTMLayer obj's underlying member method code with example usage: obj.forward(input, state) and returns: torch,  state