code: def test_run_oneflow(self):
      import oneflow
  
      collator = Collator(backend="oneflow")
      numpy_pad_batch = {
          "str": ["1", "2"],
          "lst_str": [["1"], ["2", "2"]],
          "int": oneflow.LongTensor([1, 2]),
          "lst_int": oneflow.LongTensor([[1, 0], [1, 2]]),
          "nest_lst_int": oneflow.LongTensor(
              [[[1, 0], [0, 0]], [[1, 0], [1, 2]]]
          ),
          "float": oneflow.FloatTensor([1.1, 2.1]),
          "lst_float": oneflow.FloatTensor([[1.1], [2.1]]),
          "bool": oneflow.BoolTensor([True, False]),
          "numpy": oneflow.FloatTensor([[1], [0]]),
          "dict": {"1": ["1", "2"]},
          "set": [{"1"}, {"2"}],
          "nested_dict": {
              "a": oneflow.LongTensor([1, 2]),
              "b": oneflow.LongTensor([[1, 2], [1, 2]]),
          },
      }
  
      findDictDiff(numpy_pad_batch, collator(self.dict_batch))
      collator = Collator(backend="oneflow")
      oneflow_pad_lst = [
          ["1", "2"],
          [["1"], ["2", "2"]],
          oneflow.LongTensor([1, 2]),
          oneflow.LongTensor([[1, 0], [2, 2]]),
          oneflow.LongTensor([[[1, 0], [0, 0]], [[1, 0], [1, 2]]]),
          oneflow.FloatTensor([1.1, 2.1]),
          oneflow.FloatTensor([[1.1], [2.1]]),
          oneflow.BoolTensor([True, False]),
          oneflow.LongTensor([[1, 0], [1, 1]]),
          [{"1": "1"}, {"2": "2"}],
          [{"1"}, {"2"}],
      ]
      findListDiff(oneflow_pad_lst, collator(self.list_batch))
  
imports: import numpy
  import pytest
  from fastNLP.envs.imports import _NEED_IMPORT_TORCH, _NEED_IMPORT_PADDLE, _NEED_IMPORT_JITTOR, _NEED_IMPORT_ONEFLOW
  from fastNLP.core.collators.collator import Collator
  from ...helpers.utils import Capturing
label_desc: Use image node_id 5 for calling the TestCollator obj's underlying member method code with example usage: obj.test_run_oneflow() without return types