code: def testNotReparameterized(self):
      p = tf.constant([0.2, 0.6])
      _, grad_p = gradient.value_and_gradient(
          lambda x: probit_bernoulli.ProbitBernoulli(  # pylint: disable=g-long-lambda
              probs=x, validate_args=True
          ).sample(
              100, seed=test_util.test_seed()
          ),
          p,
      )
      self.assertIsNone(grad_p)
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import probit_bernoulli
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.internal import test_util
  from tensorflow_probability.python.math import gradient
label_desc: Use image node_id 18 for calling the ProbitBernoulliTest obj's underlying member method code with example usage: obj.testNotReparameterized() without return types