code: def test_cpu_device_data_prefetcher(self) -> None:
      device = torch.device("cpu")
  
      num_samples = 12
      batch_size = 4
      dataloader = torch.utils.data.DataLoader(
          self._generate_dataset(num_samples, 2), batch_size=batch_size
      )
  
      num_prefetch_batches = 2
      with self.assertRaisesRegex(ValueError, "expects a CUDA device"):
          _ = CudaDataPrefetcher(
              dataloader, device, num_prefetch_batches
          )
  
file_path: tnt/tests/utils/data/test_data_prefetcher.py
imports: import unittest
  from typing import Tuple
  import torch
  from torch.utils.data.dataset import Dataset, TensorDataset
  from torchtnt.utils.data.data_prefetcher import CudaDataPrefetcher
label_desc: Use image node_id 2 for calling the DataTest obj's underlying member method code with example usage: obj.test_cpu_device_data_prefetcher() without return types