code: def testDistributeDatasetIteratorWithFunction(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)
          )
      )
  
      @def_function.function
      def run(iterator):
          return distribution.experimental_local_results(
              iterator.get_next()
          )
  
      local_results = run(input_iterator)
      self.assertAllEqual(
          local_results, data[0 : distribution.num_replicas_in_sync]
      )
      backing_devices = [
          result.backing_device for result in local_results
      ]
      self.assertAllEqual(
          backing_devices, distribution.extended.worker_devices
      )
  
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 14 for calling the InputIterationTest obj's underlying member method code with example usage: obj.testDistributeDatasetIteratorWithFunction(distribution) and returns: distribution