code: def test_value(self):
      device = "cuda:0"
      data = [{"img": torch.tensor(i)} for i in range(4)]
      dataset = CacheDataset(
          data=data,
          transform=ToDeviced(
              keys="img", device=device, non_blocking=True
          ),
          cache_rate=1.0,
      )
      dataloader = ThreadDataLoader(
          dataset=dataset, num_workers=0, batch_size=1
      )
      for i, d in enumerate(dataloader):
          assert_allclose(d["img"], torch.tensor([i], device=device))
  
file_path: MONAI/tests/test_to_deviced.py
imports: from __future__ import annotations
  import unittest
  import torch
  from monai.data import CacheDataset, ThreadDataLoader
  from monai.transforms import ToDeviced
  from tests.utils import assert_allclose, skip_if_no_cuda
label_desc: Use image node_id 1 for calling the TestToDeviced obj's underlying member method code with example usage: obj.test_value() without return types