code: def init_stacked_lstm(
      num_layers: int,
      layer: torch.nn.Module,
      first_layer_args: List,
      other_layer_args: List,
  ) -> torch.nn.ModuleList:
      layers = [layer(*first_layer_args)] + [
          layer(*other_layer_args) for _ in range(num_layers - 1)
      ]
      return torch.nn.ModuleList(layers)
  
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 3 for calling a global function with example usage: init_stacked_lstm(num_layers, layer, first_layer_args, other_layer_args) and returns: torch