code: def testDeterministicDeterministicKL(self):
      batch_size = 6
      a_loc = np.array([0.5] * batch_size, dtype=np.float32)
      b_loc = np.array([0.4] * batch_size, dtype=np.float32)
  
      a = det.Deterministic(loc=a_loc, validate_args=True)
      b = det.Deterministic(loc=b_loc, validate_args=True)
  
      kl = kullback_leibler.kl_divergence(a, b)
      kl_ = self.evaluate(kl)
      self.assertAllEqual(np.zeros(6) + np.inf, kl_)
  
imports: from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import deterministic
  from tensorflow_probability.python.distributions import gamma
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import mvn_diag
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
label_desc: Use image node_id 20 for calling the DeterministicTest obj's underlying member method code with example usage: obj.testDeterministicDeterministicKL() without return types