code: def set_seed(seed=None):
      """
      Set seed of whole process
      """
      if seed is None:
          seed = random.randint(0, 5000)
  
      random.seed(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
      if torch.cuda.is_available():
          torch.cuda.manual_seed_all(seed)
          torch.backends.cudnn.deterministic = True
          torch.backends.cudnn.benchmark = False
  
imports: import random
  import typing
  import torch
  import torch.backends.cudnn
  import numpy
  import pandas
  from ..backend import DependentBackend
  from ..data import Dataset
  from ..data.graph import GeneralStaticGraph
  from ..utils import get_logger
label_desc: Use image node_id 8 for calling a global function with example usage: set_seed(seed) without return types