code: def log_norm_const(probs):
      # do not evaluate close to 0.5
      return np.log(
          np.abs(2.0 * np.arctanh(1.0 - 2.0 * probs))
      ) - np.log(np.abs(1.0 - 2.0 * 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 2 for calling a global function with example usage: log_norm_const(probs) and returns: unknown