code: def _bytes_feature(value: Union[bytes, str]) -> tf.train.Feature:
      """Inserts bytes features into Example proto."""
      if isinstance(value, str):
          value = bytes(value, "utf-8")
      return tf.train.Feature(
          bytes_list=tf.train.BytesList(value=[value])
      )
  
imports: from typing import Union, Iterable, Tuple, Optional
  import os
  import requests
  import shutil
  import sys
  import tensorflow.compat.v1
  import time
  from ray.util.scheduling_strategies import NodeAffinitySchedulingStrategy
  import ray
label_desc: Use image node_id 10 for calling a global function with example usage: _bytes_feature(value) and returns: tf