code: def testInvertMutuallyConsistent(self):
      dims = 4
      nvp = invert.Invert(
          real_nvp.RealNVP(
              num_masked=3, validate_args=True, **self._real_nvp_kwargs
          )
      )
      dist = transformed_distribution.TransformedDistribution(
          distribution=sample.Sample(normal.Normal(0.0, 1.0), [dims]),
          bijector=nvp,
          validate_args=True,
      )
      self.run_test_sample_consistent_log_prob(
          sess_run_fn=self.evaluate,
          dist=dist,
          num_samples=int(1e6),
          seed=22197,
          radius=1.0,
          center=0.0,
          rtol=0.1,
      )
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import inline
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import real_nvp
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  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 tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.internal import tf_keras
label_desc: Use image node_id 4 for calling the RealNVPTestBase obj's underlying member method code with example usage: obj.testInvertMutuallyConsistent() without return types