code: def VerifyVonMisesFisherUniformKL(self, dim):
      seed_stream = test_util.test_seed_stream()
      mean_direction = tf.random.uniform(
          shape=[4, dim], minval=1.0, maxval=4.0, seed=seed_stream()
      )
      mean_direction = tf.nn.l2_normalize(mean_direction, axis=-1)
      concentration = tf.math.log(
          tf.random.uniform(
              shape=[2, 1], minval=2.0, maxval=20.0, seed=seed_stream()
          )
      )
  
      vmf = von_mises_fisher.VonMisesFisher(
          mean_direction=mean_direction, concentration=concentration
      )
      su = spherical_uniform.SphericalUniform(dimension=dim)
  
      x = vmf.sample(int(5e4), seed=test_util.test_seed())
  
      kl_samples = vmf.log_prob(x) - su.log_prob(x)
      true_kl = kullback_leibler.kl_divergence(vmf, su)
      true_kl_, kl_samples_ = self.evaluate([true_kl, kl_samples])
      self.assertAllMeansClose(
          kl_samples_, true_kl_, axis=0, atol=0.0, rtol=0.3
      )
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import spherical_uniform
  from tensorflow_probability.python.distributions import von_mises_fisher
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 9 for calling the VonMisesFisherTest obj's underlying member method code with example usage: obj.VerifyVonMisesFisherUniformKL(dim) without return types