code: def test_multi_drivers():
      """
      测试使用了多个 TorchDDPDriver 的情况。
      """
      generate_driver(10, 10)
      generate_driver(20, 10)
  
      with pytest.raises(RuntimeError):
          # 设备设置不同，应该报错
          generate_driver(20, 3, device=[0, 1, 2])
          assert False
      dist.barrier()
  
      if dist.is_initialized():
          dist.destroy_process_group()
  
imports: import os
  import pytest
  from pathlib import Path
  from fastNLP.core.drivers.torch_driver.ddp import TorchDDPDriver
  from fastNLP import prepare_torch_dataloader
  from fastNLP.core.samplers import RandomSampler, UnrepeatedSampler, BucketedBatchSampler, UnrepeatedRandomSampler, UnrepeatedSequentialSampler
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from tests.helpers.datasets.torch_data import TorchNormalDataset, TorchNormalXYDataset
  from tests.helpers.utils import magic_argv_env_context, recover_logger, Capturing
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP import logger
  from fastNLP.core.drivers.torch_driver.dist_utils import fastnlp_torch_all_gather
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH
label_desc: Use image node_id 4 for calling a global function with example usage: test_multi_drivers() without return types