code: def test_prefetch_to_host_dataset(self, distribution):
      input_options = distribute_lib.InputOptions(
          experimental_fetch_to_device=False
      )
      dataset = dataset_ops.Dataset.range(100)
      dataset = dataset.batch(distribution.num_replicas_in_sync)
      dataset = distribution.experimental_distribute_dataset(
          dataset, options=input_options
      )
      if context.executing_eagerly():
          item = next(iter(dataset))
      else:
          if isinstance(dataset, input_lib_v1.DistributedDatasetV1):
              item = dataset.make_initializable_iterator().get_next()
          else:
              self.skipTest("unsupported test combination")
      self.assertAllEqual(
          tf_device.DeviceSpec.from_string(item.device).device_type,
          "CPU",
      )
  
imports: from tensorflow.python import tf2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import strategy_test_lib
  from tensorflow.python.distribute.v1 import input_lib
  from tensorflow.python.eager import context
  from tensorflow.python.eager import test
  from tensorflow.python.framework import device
label_desc: Use image node_id 17 for calling the OneDeviceStrategyTest obj's underlying member method code with example usage: obj.test_prefetch_to_host_dataset(distribution) without return types