code: def fix_saver(collection_lists=None):
      # Workaround to prevent serialization warning by removing objects
      if collection_lists is None:
          try:
              # Try latest api
              l = tf.get_collection_ref("summary_tags")
              l4 = tf.get_collection_ref(tf.GraphKeys.GRAPH_CONFIG)
          except Exception:
              l = tf.get_collection("summary_tags")
              l4 = tf.get_collection(tf.GraphKeys.GRAPH_CONFIG)
          l_stags = list(l)
          l4_stags = list(l4)
          del l[:]
          del l4[:]
  
          try:
              # Try latest api
              l1 = tf.get_collection_ref(tf.GraphKeys.DATA_PREP)
              l2 = tf.get_collection_ref(tf.GraphKeys.DATA_AUG)
          except Exception:
              l1 = tf.get_collection(tf.GraphKeys.DATA_PREP)
              l2 = tf.get_collection(tf.GraphKeys.DATA_AUG)
          l1_dtags = list(l1)
          l2_dtags = list(l2)
          del l1[:]
          del l2[:]
  
          try:  # Do not save exclude variables
              l3 = tf.get_collection_ref(tf.GraphKeys.EXCL_RESTORE_VARS)
          except Exception:
              l3 = tf.get_collection(tf.GraphKeys.EXCL_RESTORE_VARS)
          l3_tags = list(l3)
          del l3[:]
          return [l_stags, l1_dtags, l2_dtags, l3_tags, l4_stags]
      else:
          # 0.7+ workaround, restore values
          for t in collection_lists[0]:
              tf.add_to_collection("summary_tags", t)
          for t in collection_lists[4]:
              tf.add_to_collection(tf.GraphKeys.GRAPH_CONFIG, t)
          for t in collection_lists[1]:
              tf.add_to_collection(tf.GraphKeys.DATA_PREP, t)
          for t in collection_lists[2]:
              tf.add_to_collection(tf.GraphKeys.DATA_AUG, t)
          for t in collection_lists[3]:
              tf.add_to_collection(tf.GraphKeys.EXCL_RESTORE_VARS, t)
  
imports: from __future__ import division, print_function, absolute_import
  import six
  import string
  import random
  import numpy
  import tensorflow.compat.v1
  from tensorflow.python import pywrap_tensorflow
  import tflearn.variables
label_desc: Use image node_id 33 for calling a global function with example usage: fix_saver(collection_lists) and returns: list