code: def get_variables_path(export_dir):
      """Returns the path for storing variables checkpoints."""
      return os.path.join(
          tf.compat.as_bytes(export_dir),
          tf.compat.as_bytes(
              tf.compat.v1.saved_model.VARIABLES_DIRECTORY
          ),
          tf.compat.as_bytes(
              tf.compat.v1.saved_model.VARIABLES_FILENAME
          ),
      )
  
imports: import collections
  import os
  import re
  from absl import logging
  import tensorflow
  from tensorflow_hub import module_attachment_pb2
  from tensorflow_hub import tf_utils
  from google.protobuf import message
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import saved_model_pb2
label_desc: Use image node_id 1 for calling a global function with example usage: get_variables_path(export_dir) and returns: os