code: def __init__(
      self, num_layers, layer, first_layer_args, other_layer_args
  ):
      super().__init__()
      self.layers = init_stacked_lstm(
          num_layers, layer, first_layer_args, other_layer_args
      )
  
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 1 to create a new StackedLSTM object from inherited base classes: jit with example: obj = StackedLSTM(num_layers, layer, first_layer_args, other_layer_args)