code: def testBatchReduceMixedDenseAndSparse(self):
      options = self.RunOptions(
          num_processes=2,
          gpus_per_process=0,
          reduce_op=ReduceOp.SUM,
          mode=["func_graph"],
      )
  
      inputs_data = [
          [
              1.0,
              2.0,
              IndexedSlicesValue(
                  values=[[1.0], [2.0]],
                  indices=[0, 1],
                  dense_shape=[10, 1],
              ),
              IndexedSlicesValue(
                  values=[[3.0], [4.0]],
                  indices=[1, 2],
                  dense_shape=[5, 1],
              ),
          ],
          [
              3.0,
              4.0,
              IndexedSlicesValue(
                  values=[[5.0], [6.0]],
                  indices=[1, 2],
                  dense_shape=[10, 1],
              ),
              IndexedSlicesValue(
                  values=[[7.0], [8.0]],
                  indices=[0, 1],
                  dense_shape=[5, 1],
              ),
          ],
      ]
  
      expect = [
          4.0,
          6.0,
          IndexedSlices(
              values=[[1.0], [2.0], [5.0], [6.0]],
              indices=[0, 1, 1, 2],
              dense_shape=[10, 1],
          ),
          IndexedSlices(
              values=[[3.0], [4.0], [7.0], [8.0]],
              indices=[1, 2, 0, 1],
              dense_shape=[5, 1],
          ),
      ]
  
      self.batch_reduce_and_verify(inputs_data, expect, options)
  
imports: import collections
  import os
  import threading
  import time
  from absl.testing import parameterized
  from tensorflow.core.protobuf import config_pb2
  from tensorflow.core.protobuf import tensorflow_server_pb2
  from tensorflow.python.distribute import cluster_resolver
  from tensorflow.python.distribute import collective_util
  from tensorflow.python.distribute import combinations
  from tensorflow.python.distribute import cross_device_ops
  from tensorflow.python.distribute import cross_device_utils
  from tensorflow.python.distribute import device_util
  from tensorflow.python.distribute import multi_process_runner
  from tensorflow.python.distribute import multi_worker_test_base
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.distribute import test_util
  from tensorflow.python.distribute import values
  from tensorflow.python.eager import context
  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 indexed_slices
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import collective_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util import nest
label_desc: Use image node_id 11 for calling the CollectiveOpsTest obj's underlying member method code with example usage: obj.testBatchReduceMixedDenseAndSparse() without return types