code: def test_shape_parameters(self):
      dist = AutoIndependent(
          AutoNormal(0, tf.ones([1])), reinterpreted_batch_ndims=1
      )
      stream = test_util.test_seed_stream()
      lp = dist.log_prob(dist.sample(seed=stream()))
      lp, _ = tf.while_loop(
          lambda *_: True,
          lambda lp, d: (d.log_prob(d.sample(seed=stream())), d),
          (lp, dist),
          maximum_iterations=2,
      )
      self.evaluate(lp)
  
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 4 for calling the AutoCompositeTensorTest obj's underlying member method code with example usage: obj.test_shape_parameters() without return types