code: def set_random_seed(seed):
      if seed is not None:
          set_seed(seed)
          random.seed(seed)
          np.random.seed(seed)
          torch.manual_seed(seed)
          get_accelerator().manual_seed_all(seed)
  
imports: import os
  import torch
  import random
  import numpy
  from transformers import set_seed, AutoTokenizer
  import json
  import deepspeed
  from deepspeed.runtime.zero.partition_parameters import ZeroParamStatus
  from deepspeed.accelerator import get_accelerator
  import torch.nn
label_desc: Use image node_id 7 for calling a global function with example usage: set_random_seed(seed) without return types