code: def clones(module: nn.Module, N: int) -> nn.ModuleList:
      """Produce N identical layers.
  
      Args:
          module (nn.Module): A pytorch nn.module.
          N (int): Number of copies.
  
      Returns:
          nn.ModuleList: A pytorch nn.ModuleList with the copies.
      """
      return nn.ModuleList([copy.deepcopy(module) for _ in range(N)])
  
imports: import copy
  import math
  from typing import Dict, Optional, Sequence, Union
  import torch
  import torch.nn
  from mmcv.cnn.bricks.transformer import BaseTransformerLayer
  from mmengine.model import ModuleList
  from mmocr.models.common.dictionary import Dictionary
  from mmocr.models.common.modules import PositionalEncoding
  from mmocr.registry import MODELS
  from mmocr.structures import TextRecogDataSample
  from .base import BaseDecoder
label_desc: Use image node_id 1 for calling a global function with example usage: clones(module, N) and returns: nn