class_docstr: 测试其它函数的测试例
class_docstr_tok: ["\u6d4b\u8bd5\u5176\u5b83\u51fd\u6570\u7684\u6d4b\u8bd5\u4f8b"]
code: def setup_class(cls):
      model = JittorNormalModel_Classification_1(10, 784)
      cls.driver = JittorSingleDriver(model, device="cpu")
  
imports: import pytest
  from copy import deepcopy
  from pathlib import Path
  from fastNLP.core.drivers.jittor_driver import JittorSingleDriver
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from fastNLP.core.dataloaders import JittorDataLoader
  from tests.helpers.models.jittor_model import JittorNormalModel_Classification_1
  from tests.helpers.datasets.jittor_data import JittorNormalDataset, JittorNormalXYDataset
  from tests.helpers.datasets.torch_data import TorchNormalDataset
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP.envs.imports import _NEED_IMPORT_JITTOR, _NEED_IMPORT_TORCH
label_desc: Use image node_id 1 for calling the TestSingleDeviceFunction obj's underlying member method code with example usage: obj.setup_class(cls) without return types