code: def testLatentsOfMixedRank(self):
      batch_size = 4
      init = [tf.ones([batch_size, 3, 2]), tf.zeros([batch_size, 7])]
  
      def batched_synthetic_log_prob(x, y):
          pt1 = tf.reduce_sum(input_tensor=x, axis=[-1, -2])
          pt2 = tf.reduce_sum(input_tensor=y, axis=-1)
          return pt1 + pt2
  
      kernel = nuts_autobatching.NoUTurnSampler(
          batched_synthetic_log_prob,
          step_size=0.3,
          use_auto_batching=True,
          stackless=False,
          unrolled_leapfrog_steps=2,
          max_tree_depth=4,
          seed=1,
      )
      results, extra = sample.sample_chain(
          num_results=1,
          num_burnin_steps=0,
          current_state=init,
          kernel=kernel,
          parallel_iterations=1,
      )
      self.evaluate([results, extra])
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import chain
  from tensorflow_probability.python.bijectors import invert
  from tensorflow_probability.python.bijectors import scale_matvec_tril
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import sigmoid
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.distributions import wishart
  from tensorflow_probability.python.distributions.internal import statistical_testing
  from tensorflow_probability.python.experimental.auto_batching import instructions
  from tensorflow_probability.python.experimental.mcmc import nuts_autobatching
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.mcmc import sample
label_desc: Use image node_id 7 for calling the NutsTest obj's underlying member method code with example usage: obj.testLatentsOfMixedRank() and returns: unknown