code: def test_prepare_jittor_dataloader(self):
      # 测试 fastnlp 的 dataset
      ds = Fdataset(
          {
              "x": [[1, 2], [2, 3, 4], [4, 5, 6, 7]] * 10,
              "y": [1, 0, 1] * 10,
          }
      )
      dl = prepare_jittor_dataloader(
          ds, batch_size=8, shuffle=True, num_workers=2
      )
      assert isinstance(dl, JittorDataLoader)
  
      ds1 = Fdataset(
          {
              "x": [[1, 2], [2, 3, 4], [4, 5, 6, 7]] * 10,
              "y": [1, 0, 1] * 10,
          }
      )
      dbl = DataBundle(datasets={"train": ds, "val": ds1})
      dl_bundle = prepare_jittor_dataloader(dbl)
      assert isinstance(dl_bundle["train"], JittorDataLoader)
      assert isinstance(dl_bundle["val"], JittorDataLoader)
  
      ds_dict = {"train_1": ds, "val": ds1}
      dl_dict = prepare_jittor_dataloader(ds_dict)
      assert isinstance(dl_dict["train_1"], JittorDataLoader)
      assert isinstance(dl_dict["val"], JittorDataLoader)
  
      # 测试 jittor 的 dataset
      ds1 = MyDataset()
      dl1 = prepare_jittor_dataloader(
          ds1, batch_size=8, shuffle=True, num_workers=2
      )
      assert isinstance(dl1, JittorDataLoader)
  
      ds2 = MyDataset()
      dbl1 = DataBundle(datasets={"train": ds1, "val": ds2})
      dl_bundle1 = prepare_jittor_dataloader(dbl1)
      assert isinstance(dl_bundle1["train"], JittorDataLoader)
      assert isinstance(dl_bundle1["val"], JittorDataLoader)
  
      ds_dict1 = {"train_1": ds1, "val": ds2}
      dl_dict1 = prepare_jittor_dataloader(ds_dict1)
      assert isinstance(dl_dict1["train_1"], JittorDataLoader)
      assert isinstance(dl_dict1["val"], JittorDataLoader)
  
file_path: fastNLP/tests/core/dataloaders/jittor_dataloader/test_fdl.py
imports: import pytest
  import numpy
  from fastNLP.envs import _module_available
  from fastNLP.core.dataloaders.jittor_dataloader import JittorDataLoader, prepare_jittor_dataloader
  from fastNLP.core.dataset import DataSet
  from fastNLP.core.collators import Collator
  from fastNLP.io.data_bundle import DataBundle
  from fastNLP.envs.imports import _NEED_IMPORT_JITTOR
label_desc: Use image node_id 7 for calling the TestJittor obj's underlying member method code with example usage: obj.test_prepare_jittor_dataloader() without return types