code: def laplace_log_prob(self, val):
      loc = self.parameters["loc"]
      scale = self.parameters["scale"]
      f_val = tf.cast(val, tf.float32)
      result = -tf.log(2.0 * scale) - tf.abs(f_val - loc) / scale
      return result
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from edward.models.random_variables import *
label_desc: Use image node_id 11 for calling a global function with example usage: laplace_log_prob(val) and returns: result