code: def testComposeFromNonTransformedDistribution(self):
      actual_log_normal = exp.Exp()(normal.Normal(0.5, 2.0))
      expected_log_normal = lognormal.LogNormal(0.5, 2.0)
      x = tf.constant([0.1, 1.0, 5.0])
      self.assertAllClose(
          *self.evaluate(
              [
                  actual_log_normal.log_prob(x),
                  expected_log_normal.log_prob(x),
              ]
          ),
          atol=0,
          rtol=1e-3,
      )
  
imports: import functools
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import identity
  from tensorflow_probability.python.bijectors import reciprocal
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.distributions import chi
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import lognormal
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import sample
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 4 for calling the BijectorCompositionTest obj's underlying member method code with example usage: obj.testComposeFromNonTransformedDistribution() without return types