code: def reset_random(seed=1234):
      random.seed(seed)
      np.random.seed(seed)
      torch.manual_seed(seed)
      get_accelerator().manual_seed_all(seed)
  
imports: import torch
  import pytest
  import random
  import numpy
  from unit.megatron_model import get_gpt2_model
  from deepspeed.compression.compress import init_compression
  from unit.modeling import BertConfig
  from unit.modelingpreln import BertEncoder
  from deepspeed.compression.basic_layer import LinearLayer_Compress, ColumnParallelLinear_Compress, RowParallelLinear_Compress
  from deepspeed.compression.helper import convert_conv1d_to_linear
  from deepspeed.accelerator import get_accelerator
  from deepspeed.runtime.utils import required_torch_version
  from unit.common import DistributedTest
label_desc: Use image node_id 1 for calling a global function with example usage: reset_random(seed) without return types