code: def _get_tensorflow_version():  # pragma: no cover
      """Utility function to decide the version of tensorflow, which will
      affect how to import keras models.
  
      Returns
      -------
      tensorflow version : int
  
      """
  
      tf_version = str(tensorflow.__version__)
      if (
          int(tf_version.split(".")[0]) != 1
          and int(tf_version.split(".")[0]) != 2
      ):
          raise ValueError("tensorflow version error")
  
      return int(tf_version.split(".")[0]) * 100 + int(
          tf_version.split(".")[1]
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: _get_tensorflow_version() and returns: unknown