code: def testDistributeDatasetFunctionHostPrefetch(self, distribution):
      data = [5.0, 6.0, 7.0, 8.0]
      input_iterator = iter(
          distribution.distribute_datasets_from_function(
              lambda _: get_dataset_from_tensor_slices(data),
              distribute_lib.InputOptions(
                  experimental_fetch_to_device=False
              ),
          )
      )
  
      local_results = distribution.experimental_local_results(
          input_iterator.get_next()
      )
  
      for result in local_results:
          self.assertEqual(
              result.backing_device,
              device_util.resolve("/device:CPU:0"),
          )
  
imports: from absl.testing import parameterized
  from tensorflow.python import tf2
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import distribute_lib
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.distribute import strategy_combinations
  from tensorflow.python.distribute import test_util
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import control_flow_assert
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.losses import losses
  from tensorflow.python.tpu import tpu
  from tensorflow.python.util import nest
label_desc: Use image node_id 18 for calling the InputIterationTest obj's underlying member method code with example usage: obj.testDistributeDatasetFunctionHostPrefetch(distribution) without return types