code: def set_random_seed(seed, is_cuda):
      """Sets the random seed."""
      if seed > 0:
          torch.manual_seed(seed)
          # this one is needed for Random Shuffler of batches
          # in multi gpu it ensures datasets are read in the same order
          random.seed(seed)
          # some cudnn methods can be random even after fixing the seed
          # unless you tell it to be deterministic
          torch.backends.cudnn.deterministic = True
          # This one is needed for various tranfroms
          np.random.seed(seed)
  
      if is_cuda and seed > 0:
          # These ensure same initialization in multi gpu mode
          torch.cuda.manual_seed(seed)
  
imports: import torch
  import random
  from contextlib import contextmanager
  import inspect
  import numpy
  import os
  from copy import deepcopy
label_desc: Use image node_id 5 for calling a global function with example usage: set_random_seed(seed, is_cuda) without return types