code: def entropy(probs):
      # do not evaluate close to 0.5
      return (
          mean(probs) * (np.log1p(-probs) - np.log(probs))
          - log_norm_const(probs)
          - np.log1p(-probs)
      )
  
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 6 for calling a global function with example usage: entropy(probs) and returns: unknown