class_docstr: 使用 JittorSingleDriver 测试基类的函数
class_docstr_tok: ["\u4f7f\u7528","JittorSingleDriver","\u6d4b\u8bd5\u57fa\u7c7b\u7684\u51fd\u6570"]
code: def test_tensor_to_numeric_reduce(self):
      tensor = jt.Var([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
  
      res_max = JittorSingleDriver.tensor_to_numeric(
          tensor, reduce="max"
      )
      res_min = JittorSingleDriver.tensor_to_numeric(
          tensor, reduce="min"
      )
      res_sum = JittorSingleDriver.tensor_to_numeric(
          tensor, reduce="sum"
      )
      res_mean = JittorSingleDriver.tensor_to_numeric(
          tensor, reduce="mean"
      )
  
      assert res_max == 6
      assert res_min == 1
      assert res_sum == 21
      assert res_mean == 3.5
  
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 7 for calling the TestJittorDriverFunctions obj's underlying member method code with example usage: obj.test_tensor_to_numeric_reduce() without return types