code: def testStrategyReduceWithDynamicShapes(self, distribution):
      dataset = get_dataset_from_tensor_slices([5.0, 6.0, 7.0]).batch(4)
      input_iterator = iter(
          distribution.experimental_distribute_dataset(dataset)
      )
  
      @def_function.function
      def run(iterator):
          inputs = next(iterator)
          return distribution.reduce(
              reduce_util.ReduceOp.MEAN, inputs, axis=0
          )
  
      self.assertAllEqual(6.0, run(input_iterator))
  
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 24 for calling the InputIterationTest obj's underlying member method code with example usage: obj.testStrategyReduceWithDynamicShapes(distribution) and returns: distribution