code: def testTwoReducesWithAssign(self):
      self.skipForPathways("TODO(b/260775095)")
      # FIXME(b/238384852): The purpose of this test is to validate the control
      # dependency added by DTensor.
      # However, as we have no way of testing the per-device graph
      # produced by the DTensor SPMD expansion, we have to use manual logging
      # to verify if the results are correct.
      # For example, this test is used to check cl/459358521.
  
      # Uses dtypes.float32 to avoid int32 problem with VarHandleOp on GPUs.
      a = constant_op.constant(
          np.array([[1, 2, 3, 4], [5, 6, 7, 8]]), dtype=dtypes.float32
      )
      b = constant_op.constant(
          np.array([[11, 12, 13, 4], [15, 16, 17, 18]]),
          dtype=dtypes.float32,
      )
  
      expected_result = math_ops.reduce_sum(a) * math_ops.reduce_sum(b)
  
      sharded_a = api.relayout(
          a, self.first_dimension_sharded_layout_2d
      )
      sharded_b = api.relayout(
          b, self.first_dimension_sharded_layout_2d
      )
      sharded_v = d_variable.DVariable(sharded_b)
  
      @polymorphic_function.function
      def func(a, b):
          a1 = math_ops.reduce_sum(a, name="reducea")
          sharded_v.assign(a)
          b1 = math_ops.reduce_sum(b, name="reduceb")
          return a1 * b1
  
      with api.default_mesh(self.mesh):
          dtensor_result = func(sharded_a, sharded_b)
      self.assertDTensorEqual(
          expected_result, self.scalar_layout, dtensor_result
      )
  
imports: import os
  from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import d_variable
  from tensorflow.dtensor.python import dtensor_device
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_backend_util
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.eager.polymorphic_function import polymorphic_function
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 5 for calling the CollectiveTest obj's underlying member method code with example usage: obj.testTwoReducesWithAssign() and returns: unknown