code: def _bytes_feature_list(values):
      """Wrapper for inserting a bytes FeatureList into a SequenceExample proto,
      e.g, sentence in list of bytes
      """
      return tf.train.FeatureList(
          feature=[_bytes_feature(v) for v in values]
      )
  
file_path: TensorLayer/examples/data_process/tutorial_tfrecord3.py
imports: import json
  import os
  import numpy
  import tensorflow
  from PIL import Image
  import tensorlayer
label_desc: Use image node_id 4 for calling a global function with example usage: _bytes_feature_list(values) and returns: tf