code: def _main(_):
      logger.setLevel(logging.INFO)
      converter = create_converter(FLAGS.model, model_loader)
      tflite_model = converter.convert()
      with open(FLAGS.output, "wb") as f:
          f.write(tflite_model)
  
file_path: auptimizer/src/aup/dlconvert/pb_to_tflite.py
imports: from os import path
  import logging
  from typing import List
  from absl import flags, app
  from tensorflow import lite, keras
  import tensorflow
  from .utils import reset_flag
  from .to_tflite import create_converter
  from .spec_utils import pb
label_desc: Use image node_id 5 for calling a global function with example usage: _main(_) without return types