code: def variable_summaries(var):
      """Attach a lot of summaries to a Tensor (for TensorBoard visualization)."""
      with tf.name_scope("summaries"):
          mean = tf.reduce_mean(var)
          tf.summary.scalar("mean", mean)
          with tf.name_scope("stddev"):
              stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
          tf.summary.scalar("stddev", stddev)
          tf.summary.scalar("max", tf.reduce_max(var))
          tf.summary.scalar("min", tf.reduce_min(var))
          tf.summary.histogram("histogram", var)
  
imports: from absl import logging
  import argparse
  import collections
  from datetime import datetime
  import hashlib
  import os.path
  import random
  import re
  import sys
  import numpy
  import tensorflow
  import tensorflow_hub
  from tensorflow.contrib import quantize
label_desc: Use image node_id 14 for calling a global function with example usage: variable_summaries(var) without return types