code: def set_random_seed(seed, cuda=False):
      import torch
  
      random.seed(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
      if cuda:
          torch.cuda.manual_seed_all(seed)
  
file_path: dgl/examples/pytorch/hilander/utils/misc.py
imports: import json
  import os
  import pickle
  import random
  import time
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: set_random_seed(seed, cuda) without return types