code: def testPrefetchToDeviceGpuWithReInit(self):
      if not test_util.is_gpu_available():
          self.skipTest("No GPU available")
  
      host_dataset = dataset_ops.Dataset.range(10)
      device_dataset = host_dataset.apply(
          prefetching_ops.prefetch_to_device("/gpu:0")
      )
  
      iterator = dataset_ops.make_initializable_iterator(device_dataset)
      next_element = iterator.get_next()
  
      with self.cached_session(
          config=config_pb2.ConfigProto(allow_soft_placement=False)
      ):
          self.evaluate(iterator.initializer)
          for i in range(5):
              self.assertEqual(i, self.evaluate(next_element))
          self.evaluate(iterator.initializer)
          for i in range(10):
              self.assertEqual(i, self.evaluate(next_element))
          with self.assertRaises(errors.OutOfRangeError):
              self.evaluate(next_element)
  
imports: from absl.testing import parameterized
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.python.data.experimental.ops import prefetching_ops
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import structure
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the PrefetchToDeviceTest obj's underlying member method code with example usage: obj.testPrefetchToDeviceGpuWithReInit() without return types