code: def forward(
      self, input: Tensor, state: Tuple[Tensor, Tensor]
  ) -> Tuple[Tensor, Tuple[Tensor, Tensor]]:
      inputs = reverse(input.unbind(0))
      outputs = jit.annotate(List[Tensor], [])
      for i in range(len(inputs)):
          out, state = self.cell(inputs[i], state)
          outputs += [out]
      return torch.stack(reverse(outputs)), state
  
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 2 for calling the ReverseLSTMLayer obj's underlying member method code with example usage: obj.forward(input, state) and returns: torch,  state