code: def init_seed(seed, reproducibility):
      r"""init random seed for random functions in numpy, torch, cuda and cudnn
  
      Args:
          seed (int): random seed
          reproducibility (bool): Whether to require reproducibility
      """
      set_seed(seed)
  
      if reproducibility:
          torch.backends.cudnn.benchmark = False
          torch.backends.cudnn.deterministic = True
      else:
          torch.backends.cudnn.benchmark = True
          torch.backends.cudnn.deterministic = False
  
imports: import os
  import datetime
  import importlib
  from accelerate.logging import get_logger
  from typing import Union, Optional
  import shutil
  import torch
  from accelerate.utils import set_seed
  from transformers import AutoTokenizer, BertTokenizer
  from .enum_type import PLM_MODELS, RNN_MODELS
label_desc: Use image node_id 12 for calling a global function with example usage: init_seed(seed, reproducibility) without return types