code: def testFullyReparameterized(self):
      a = tf.constant(0.1)
      b = tf.constant(0.8)
      _, [grad_a, grad_b] = gradient.value_and_gradient(
          lambda a_, b_: (  # pylint: disable=g-long-lambda
              uniform.Uniform(a_, b, validate_args=True).sample(
                  100, seed=test_util.test_seed()
              )
          ),
          [a, b],
      )
      self.assertIsNotNone(grad_a)
      self.assertIsNotNone(grad_b)
  
imports: import numpy
  from scipy import stats
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import kullback_leibler
  from tensorflow_probability.python.distributions import uniform
  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 UniformTest obj's underlying member method code with example usage: obj.testFullyReparameterized() without return types