code: def _unique_difference(structure1, structure2):
      differences = [
          a - b
          for a, b in zip(
              tf.nest.flatten(structure1), tf.nest.flatten(structure2)
          )
      ]
      if all([d == differences[0] for d in differences]):
          return differences[0]
      raise ValueError(
          "Could not find unique difference between {} and {}".format(
              structure1, structure2
          )
      )
  
file_path: probability/tensorflow_probability/python/internal/parameter_properties.py
imports: import collections
  import tensorflow.compat.v2
label_desc: Use image node_id 4 for calling a global function with example usage: _unique_difference(structure1, structure2) and returns: differences