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