code: def testEntropyWithBatch(self):
      prob = [[0.1, 0.7], [0.2, 0.6]]
      dist = continuous_bernoulli.ContinuousBernoulli(
          probs=prob, validate_args=False
      )
      self.assertAllClose(
          self.evaluate(dist.entropy()),
          [[entropy(0.1), entropy(0.7)], [entropy(0.2), entropy(0.6)]],
      )
  
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 16 for calling the ContinuousBernoulliTest obj's underlying member method code with example usage: obj.testEntropyWithBatch() without return types