code: def test_automatic_conversion_to_tensor(self):
      v = tf.Variable(tf.ones([5]))
      d = normal.Normal(tf.zeros([5]), v)
      x = tf.convert_to_tensor([3.0])
  
      vectorized_log_prob = tf.vectorized_map(
          lambda z: z.log_prob(x), d
      )
      log_prob = d.log_prob(x)
      self.evaluate(v.initializer)
      self.assertAllClose(vectorized_log_prob[:, 0], log_prob)
  
      loc = tf.Variable(0.0)
      self.evaluate(loc.initializer)
      cond_dist = tf.cond(
          tf.convert_to_tensor(True),
          lambda: normal.Normal(loc, 1.0),
          lambda: normal.Normal(0.0, 1.0),
      )
      self.assertIsInstance(cond_dist, normal.Normal)
  
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 24 for calling the AutoCompositeTensorTest obj's underlying member method code with example usage: obj.test_automatic_conversion_to_tensor() without return types