code: def test_multivariate_normal(self):
      d = mvn_tril.MultivariateNormalTriL(
          loc=[4.0, 8.0],
          scale_tril=tf.linalg.cholesky([[11.0, 0.099], [0.099, 0.1]]),
      )
      b = distribution_bijectors.make_distribution_bijector(d)
      self.assertDistributionIsApproximatelyStandardNormal(
          invert.Invert(b)(d)
      )
  
imports: from absl.testing import parameterized
  import hypothesis
  from hypothesis import strategies
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.distributions import exponential
  from tensorflow_probability.python.distributions import hypothesis_testlib
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import joint_distribution_auto_batched
  from tensorflow_probability.python.distributions import markov_chain
  from tensorflow_probability.python.distributions import mvn_tril
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import poisson
  from tensorflow_probability.python.distributions import uniform
  from tensorflow_probability.python.experimental.bijectors import distribution_bijectors
  from tensorflow_probability.python.experimental.vi import automatic_structured_vi
  from tensorflow_probability.python.internal import hypothesis_testlib
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
  from tensorflow_probability.python.math import gradient
  from tensorflow_probability.python.mcmc import dual_averaging_step_size_adaptation
  from tensorflow_probability.python.mcmc import nuts
  from tensorflow_probability.python.mcmc import sample
  from tensorflow_probability.python.mcmc import transformed_kernel
  from tensorflow_probability.python.vi import optimization
label_desc: Use image node_id 3 for calling the DistributionBijectorsTest obj's underlying member method code with example usage: obj.test_multivariate_normal() without return types