class_docstr: Tests the correctness of the Y = JointMap({nested}) transformation.
code: def testNonCompositeTensor(self):
      e = exp.Exp()
      s = bijector_test_util.NonCompositeTensorScale(
          scale=tf.constant(3.0)
      )
      bij = joint_map.JointMap(bijectors=[e, s])
      self.assertNotIsInstance(bij, tf.__internal__.CompositeTensor)
      self.assertAllCloseNested(
          bij.forward([1.0, 1.0]), [e.forward(1.0), s.forward(1.0)]
      )
  
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector_test_util
  from tensorflow_probability.python.bijectors import exp
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import joint_map
  from tensorflow_probability.python.bijectors import ldj_ratio
  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 softplus
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 8 for calling the JointMapBijectorTest obj's underlying member method code with example usage: obj.testNonCompositeTensor() without return types