code: def test_optimization_barrier(self):
      args = (
          np.array([[5, 6, 7]], dtype=np.float32),
          np.array([[1, 2, 3]], dtype=int),
      )
  
      self._assertOpOutputMatchesExpected(
          xla.optimization_barrier, args=args, expected=args
      )
  
imports: import functools
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.ops import gen_xla_ops
  from tensorflow.compiler.tf2xla.python import xla
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import function
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 26 for calling the XlaOpsNumericalTest obj's underlying member method code with example usage: obj.test_optimization_barrier() without return types