code: def tf_config():
      """
      tensorflow system configurations
      """
      config = tf.ConfigProto()
      config.log_device_placement = False
      config.allow_soft_placement = True
      return config
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import datetime
  import os
  import re
  from functools import partial
  import numpy
  import tensorflow
  from scipy import ndimage
  from six import string_types
label_desc: Use image node_id 17 for calling a global function with example usage: tf_config() and returns: config