code: def main():
      global FLAGS
      parser = argparse.ArgumentParser(
          description="Invoke toco using protos as input."
      )
      parser.add_argument(
          "model_proto_file",
          type=str,
          help="File containing serialized proto that describes the model.",
      )
      parser.add_argument(
          "toco_proto_file",
          type=str,
          help="File containing serialized proto describing how TOCO should run.",
      )
      parser.add_argument(
          "model_input_file",
          type=str,
          help="Input model is read from this file.",
      )
      parser.add_argument(
          "model_output_file",
          type=str,
          help="Result of applying TOCO conversion is written here.",
      )
      parser.add_argument(
          "--debug_proto_file",
          type=str,
          default="",
          help=(
              "File containing serialized `GraphDebugInfo` proto that describes "
              "logging information."
          ),
      )
      parser.add_argument(
          "--enable_mlir_converter",
          action="store_true",
          help=(
              "Boolean indicating whether to enable MLIR-based conversion "
              "instead of TOCO conversion. (default False)"
          ),
      )
  
      FLAGS, unparsed = parser.parse_known_args()
  
      app.run(main=execute, argv=[sys.argv[0]] + unparsed)
  
imports: import argparse
  import sys
  from tensorflow.python import pywrap_tensorflow
  from tensorflow.python import _pywrap_toco_api
  from absl import app
label_desc: Use image node_id 2 for calling a global function with example usage: main() without return types