code: def testMeanGradsAreNotNaN(self):
      logits = np.linspace(-100, 100, 20)[..., np.newaxis].astype(
          np.float32
      )
      _, grad_logits = gradient.value_and_gradient(
          lambda x: continuous_bernoulli.ContinuousBernoulli(
              logits=x
          ).mean(),
          logits,
      )
      self.assertAllNotNan(self.evaluate(grad_logits))
  
imports: import numpy
  from scipy import special
  import tensorflow.compat.v1
  import tensorflow.compat.v2
  from tensorflow_probability.python.distributions import continuous_bernoulli
  from tensorflow_probability.python.distributions import kullback_leibler
  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 23 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testMeanGradsAreNotNaN() without return types