class_docstr: 测试 TorchDeepSpeedDriver 一些简单函数的测试类，基本都是测试能否运行、是否存在 import 错误等问题
class_docstr_tok: ["\u6d4b\u8bd5","TorchDeepSpeedDriver","\u4e00\u4e9b\u7b80\u5355\u51fd\u6570\u7684\u6d4b\u8bd5\u7c7b\uff0c\u57fa\u672c\u90fd\u662f\u6d4b\u8bd5\u80fd\u5426\u8fd0\u884c\u3001\u662f\u5426\u5b58\u5728","import","\u9519\u8bef\u7b49\u95ee\u9898"]
code: def setup_class(cls):
      cls.driver = generate_driver(10, 10)
  
imports: import os
  from pathlib import Path
  import pytest
  from fastNLP.core.drivers.torch_driver.deepspeed import DeepSpeedDriver
  from fastNLP.core.samplers import RandomSampler, BucketedBatchSampler, UnrepeatedRandomSampler
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from tests.helpers.datasets.torch_data import TorchNormalXYDataset
  from tests.helpers.utils import magic_argv_env_context
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP import logger
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH, _NEED_IMPORT_DEEPSPEED
label_desc: Use image node_id 1 for calling the TestDeepSpeedDriverFunction obj's underlying member method code with example usage: obj.setup_class(cls) without return types