code: def set_seed(seed):
      random.seed(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
  
imports: import numpy
  import torch
  import pytest
  import random
  import copy
  import os
  from torch import nn
  from deepspeed import DeepSpeedTransformerLayer, DeepSpeedTransformerConfig
  from deepspeed.accelerator import get_accelerator
  from unit.modeling import BertConfig, BertLayerNorm, BertEncoder
  from unit.modelingpreln import BertEncoder
  from unit.common import DistributedTest, is_rocm_pytorch
label_desc: Use image node_id 4 for calling a global function with example usage: set_seed(seed) without return types