code: def main(unused_args, flags):
      if flags.checkpoint_version == 1:
          checkpoint_version = saver_pb2.SaverDef.V1
      elif flags.checkpoint_version == 2:
          checkpoint_version = saver_pb2.SaverDef.V2
      else:
          raise ValueError(
              "Invalid checkpoint version (must be '1' or '2'): %d"
              % flags.checkpoint_version
          )
      freeze_graph(
          flags.input_graph,
          flags.input_saver,
          flags.input_binary,
          flags.input_checkpoint,
          flags.output_node_names,
          flags.restore_op_name,
          flags.filename_tensor_name,
          flags.output_graph,
          flags.clear_devices,
          flags.initializer_nodes,
          flags.variable_names_whitelist,
          flags.variable_names_denylist,
          flags.input_meta_graph,
          flags.input_saved_model_dir,
          flags.saved_model_tags,
          checkpoint_version,
      )
  
imports: import argparse
  import re
  import sys
  from typing import List, Optional, Union
  from absl import app
  from google.protobuf import text_format
  from tensorflow.core.framework import graph_pb2
  from tensorflow.core.protobuf import meta_graph_pb2
  from tensorflow.core.protobuf import saver_pb2
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.client import session
  from tensorflow.python.framework import convert_to_constants
  from tensorflow.python.framework import importer
  from tensorflow.python.platform import gfile
  from tensorflow.python.saved_model import loader
  from tensorflow.python.saved_model import tag_constants
  from tensorflow.python.tools import saved_model_utils
  from tensorflow.python.training import py_checkpoint_reader
  from tensorflow.python.training import saver
label_desc: Use image node_id 7 for calling a global function with example usage: main(unused_args, flags) without return types