code: def _reduce_log_l2_exp(loga, logb, axis=-1):
      return tf.math.reduce_logsumexp(
          2.0 * generic.log_sub_exp(loga, logb), axis=axis
      )
  
file_path: probability/tensorflow_probability/python/stats/calibration.py
imports: import numpy
  import tensorflow.compat.v2
  from tensorflow_probability.python.internal import dtype_util
  from tensorflow_probability.python.internal import prefer_static
  from tensorflow_probability.python.internal import tensorshape_util
  from tensorflow_probability.python.math import generic
  from tensorflow_probability.python.stats import quantiles
label_desc: Use image node_id 6 for calling a global function with example usage: _reduce_log_l2_exp(loga, logb, axis) and returns: tf