code: def test_dtype(self):
      shape = (1, 10, 9, 8)
      data = np.arange(0, np.prod(shape)).reshape(shape)
      for _dtype in DTYPES.keys():
          items = [np.array(data).astype(_dtype)]
          with tempfile.TemporaryDirectory() as tempdir:
              ds = GDSDataset(
                  data=items,
                  transform=_InplaceXform(),
                  cache_dir=tempdir,
                  device=0,
              )
              ds1 = GDSDataset(
                  data=items,
                  transform=_InplaceXform(),
                  cache_dir=tempdir,
                  device=0,
              )
              self.assertEqual(ds[0].dtype, _dtype)
              self.assertEqual(ds1[0].dtype, DTYPES[_dtype])
  
      for _dtype in DTYPES.keys():
          items = [torch.tensor(data, dtype=DTYPES[_dtype])]
          with tempfile.TemporaryDirectory() as tempdir:
              ds = GDSDataset(
                  data=items,
                  transform=_InplaceXform(),
                  cache_dir=tempdir,
                  device=0,
              )
              ds1 = GDSDataset(
                  data=items,
                  transform=_InplaceXform(),
                  cache_dir=tempdir,
                  device=0,
              )
              self.assertEqual(ds[0].dtype, DTYPES[_dtype])
              self.assertEqual(ds1[0].dtype, DTYPES[_dtype])
  
imports: from __future__ import annotations
  import os
  import pickle
  import tempfile
  import unittest
  import numpy
  import torch
  from parameterized import parameterized
  from monai.data import GDSDataset, json_hashing
  from monai.transforms import Compose, Flip, Identity, LoadImaged, SimulateDelayd, Transform
  from monai.utils import optional_import
  from tests.utils import TEST_NDARRAYS, assert_allclose
label_desc: Use image node_id 3 for calling the TestDataset obj's underlying member method code with example usage: obj.test_dtype() without return types