class_docstr: Tests the correctness of the Y = Invert(bij) transformation.
code: def testInvertCallStillWorks(self):
      x = [1.0, 2.0]
      self.assertAllClose(
          np.log(x), invert.Invert(exp.Exp())(x), atol=1e-5, rtol=1e-5
      )
  
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 identity
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import scale_matvec_diag
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import softmax_centered
  from tensorflow_probability.python.bijectors import softplus
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 5 for calling the InvertBijectorTest obj's underlying member method code with example usage: obj.testInvertCallStillWorks() without return types