class_docstr: 测试 PaddleFleetDriver 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","PaddleFleetDriver","\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"]
docstr: 测试 all_gather 函数
  详细的测试在 test_dist_utils.py 中完成
docstr_tok: ["\u6d4b\u8bd5","all_gather","\u51fd\u6570","\u8be6\u7ec6\u7684\u6d4b\u8bd5\u5728","test_dist_utils.py","\u4e2d\u5b8c\u6210"]
code: def test_all_gather(self):
      """
      测试 all_gather 函数
      详细的测试在 test_dist_utils.py 中完成
      """
      obj = {"rank": self.driver.global_rank}
      obj_list = self.driver.all_gather(obj, group=None)
      for i, res in enumerate(obj_list):
          assert res["rank"] == i
  
imports: import pytest
  from pathlib import Path
  from fastNLP.core.drivers.paddle_driver.fleet import PaddleFleetDriver
  from fastNLP.core.samplers import RandomSampler, UnrepeatedSampler, BucketedBatchSampler, UnrepeatedRandomSampler, UnrepeatedSequentialSampler
  from tests.helpers.models.paddle_model import PaddleNormalModel_Classification_1
  from tests.helpers.datasets.paddle_data import PaddleNormalDataset, PaddleNormalXYDataset
  from tests.helpers.utils import magic_argv_env_context, recover_logger
  from fastNLP.envs.distributed import rank_zero_rm
  from fastNLP import prepare_paddle_dataloader
  from fastNLP.core.drivers.paddle_driver.dist_utils import fastnlp_paddle_all_gather
  from fastNLP.envs.imports import _NEED_IMPORT_PADDLE
  from fastNLP import logger
label_desc: Use image node_id 9 for calling the TestFleetDriverFunction obj's underlying member method code with example usage: obj.test_all_gather() without return types