class_docstr: 使用 TorchSingleDriver 测试基类的函数
class_docstr_tok: ["\u4f7f\u7528","TorchSingleDriver","\u6d4b\u8bd5\u57fa\u7c7b\u7684\u51fd\u6570"]
docstr: 测试worker_init_function
docstr_tok: ["\u6d4b\u8bd5worker_init_function"]
code: def test_worker_init_function(self):
      """
      测试worker_init_function
      """
      # 先确保不影响运行
      # TODO：正确性
      if parse_version(torch.__version__) < parse_version("1.7"):
          pytest.skip(
              "Skip if torch version smaller than 1.6 since torch.manual_seed my cause bug:"
              "Overflow when unpacking long"
          )
      TorchSingleDriver.worker_init_function(0)
  
imports: import pytest
  from pathlib import Path
  from pkg_resources import parse_version
  from fastNLP.core.drivers.torch_driver.single_device import TorchSingleDriver
  from fastNLP.core.samplers import ReproduceBatchSampler, RandomSampler
  from tests.helpers.models.torch_model import TorchNormalModel_Classification_1
  from tests.helpers.datasets.torch_data import TorchNormalDataset, TorchNormalXYDataset
  from tests.helpers.datasets.paddle_data import PaddleNormalDataset
  from tests.helpers.models.paddle_model import PaddleNormalModel_Classification_1
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE, _NEED_IMPORT_TORCH
  from fastNLP import prepare_torch_dataloader, BucketedBatchSampler
label_desc: Use image node_id 11 for calling the TestTorchDriverFunctions obj's underlying member method code with example usage: obj.test_worker_init_function() without return types