code: def test_sparse_segment(self, op_func, with_num_segments):
      data = random_ops.random_uniform([3, 4, 2])
      indices = constant_op.constant([[1, 2, 3], [0, 1, 2], [0, 2, 3]])
      seg_ids = constant_op.constant([[0, 0, 2], [1, 1, 1], [0, 1, 1]])
      if with_num_segments:
          num_segments = 3
      else:
          num_segments = None
  
      def loop_fn(i):
          data_i = array_ops.gather(data, i)
          data_0 = array_ops.gather(data, 0)
          indices_i = array_ops.gather(indices, i)
          indices_0 = array_ops.gather(indices, 0)
          seg_ids_i = array_ops.gather(seg_ids, i)
          seg_ids_0 = array_ops.gather(seg_ids, 0)
          outputs = [
              op_func(
                  data_0,
                  indices_i,
                  seg_ids_0,
                  num_segments=num_segments,
              ),
              op_func(
                  data_i,
                  indices_i,
                  seg_ids_0,
                  num_segments=num_segments,
              ),
              op_func(
                  data_0,
                  indices_0,
                  seg_ids_0,
                  num_segments=num_segments,
              ),
              op_func(
                  data_i,
                  indices_0,
                  seg_ids_0,
                  num_segments=num_segments,
              ),
          ]
          if with_num_segments:
              # For this case, we support loop variant segment_ids as well.
              outputs += [
                  op_func(
                      data_0,
                      indices_i,
                      seg_ids_i,
                      num_segments=num_segments,
                  ),
                  op_func(
                      data_i,
                      indices_i,
                      seg_ids_i,
                      num_segments=num_segments,
                  ),
                  op_func(
                      data_0,
                      indices_0,
                      seg_ids_i,
                      num_segments=num_segments,
                  ),
                  op_func(
                      data_i,
                      indices_0,
                      seg_ids_i,
                      num_segments=num_segments,
                  ),
              ]
          return outputs
  
      self._test_loop_fn(loop_fn, 3)
  
imports: import itertools
  from absl.testing import parameterized
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import special_math_ops
  from tensorflow.python.ops import tensor_array_grad
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.ops.parallel_for.test_util import PForTestCase
  from tensorflow.python.platform import test
label_desc: Use image node_id 24 for calling the MathTest obj's underlying member method code with example usage: obj.test_sparse_segment(op_func, with_num_segments) and returns: outputs