code: def testComposeFromTensor(self):
      x = tf.constant([-5.0, 0.0, 5.0])
      self.assertAllClose(
          *self.evaluate([tf.exp(x), exp.Exp()(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 5 for calling the BijectorCompositionTest obj's underlying member method code with example usage: obj.testComposeFromTensor() without return types