code: def test_example(self):
      @auto_composite_tensor.auto_composite_tensor(
          non_identifying_kwargs=("name",)
      )
      class Adder(object):
          def __init__(self, x, y, name=None):
              with tf.name_scope(name or "Adder") as name:
                  self._x = tensor_util.convert_nonref_to_tensor(x)
                  self._y = tensor_util.convert_nonref_to_tensor(y)
                  self._name = name
  
          def xpy(self):
              return self._x + self._y
  
      x = 1.0
      y = tf.Variable(1.0)
      self.evaluate(y.initializer)
  
      def body(obj):
          return (Adder(obj.xpy(), y),)
  
      (result,) = tf.while_loop(
          cond=lambda _: True,
          body=body,
          loop_vars=(Adder(x, y),),
          maximum_iterations=3,
      )
      self.assertAllClose(5.0, result.xpy())
  
imports: import functools
  import os
  from absl import flags
  from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import reshape
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.experimental.distributions import mvn_precision_factor_linop
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import test_util
  from absl.testing import absltest
label_desc: Use image node_id 1 for calling the AutoCompositeTensorTest obj's underlying member method code with example usage: obj.test_example() and returns: Adder, unknown