code: def testGradientOfLogProbEvalutates(self):
      def f(a):
          return beta.Beta(a, 10).log_prob(0.5)
  
      self.evaluate(gradient.value_and_gradient(f, [100.0]))
  
imports: from absl.testing import parameterized
  import numpy
  from scipy import special
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import beta
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 39 for calling the BetaTest obj's underlying member method code with example usage: obj.testGradientOfLogProbEvalutates() and returns: beta