code: def testEntropyWithBatch(self):
      p = [[0.1, 0.7], [0.2, 0.6]]
      dist = bernoulli.Bernoulli(probs=p, validate_args=False)
      self.assertAllClose(
          self.evaluate(dist.entropy()),
          [[entropy(0.1), entropy(0.7)], [entropy(0.2), entropy(0.6)]],
      )
  
imports: import importlib
  import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops.distributions import bernoulli
  from tensorflow.python.ops.distributions import kullback_leibler
  from tensorflow.python.platform import test
  from tensorflow.python.platform import tf_logging
label_desc: Use image node_id 15 for calling the BernoulliTest obj's underlying member method code with example usage: obj.testEntropyWithBatch() without return types