code: def _int64_feature(*value):
      """Returns int64 tf.train.Feature from a bool / enum / int / uint."""
      return tf.train.Feature(
          int64_list=tf.train.Int64List(value=list(value))
      )
  
file_path: neural-structured-learning/neural_structured_learning/examples/preprocess/cora/preprocess_cora_dataset.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import random
  import time
  from absl import app
  from absl import flags
  from absl import logging
  from neural_structured_learning.tools import graph_utils
  import six
  import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: _int64_feature() and returns: tf