code: def test_graph_behavior(self):
      @def_function.function
      def run_fn(input_dtensor):
          return dtensor_util.DTensorDistributedValue(input_dtensor)
  
      result = run_fn(self.dtensor)
      # When it cross the boundary of tf.function, it will be unwrapped and
      # return a dtensor instance directly.
      self.assertTrue(d_api.is_dtensor(result))
      self.assertDTensorEqual(
          constant_op.constant([1.0, 2.0]), self.batch_layout, result
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python.tests import test_util
  from tensorflow.python.distribute import reduce_util
  from tensorflow.python.distribute import values
  from tensorflow.python.distribute.experimental import dtensor_util
  from tensorflow.python.distribute.experimental import mirrored_strategy
  from tensorflow.python.eager import def_function
  from tensorflow.python.eager import test
  from tensorflow.python.framework import constant_op
label_desc: Use image node_id 4 for calling the DTensorDistributedValueTest obj's underlying member method code with example usage: obj.test_graph_behavior() and returns: dtensor_util