code: def log_sum_exp(xs):
      """Computes the log sum exp value of a tensor."""
      maxes = tf.reduce_max(xs, keep_dims=True)
      xs -= maxes
      return tf.squeeze(maxes, [-1]) + tf.log(
          tf.reduce_sum(tf.exp(xs), -1)
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import random
  from magenta.contrib import training
  import numpy
  import tensorflow.compat.v1
label_desc: Use image node_id 15 for calling a global function with example usage: log_sum_exp(xs) and returns: unknown