code: def parse_args():
      parser = argparse.ArgumentParser(
          description="export LightSeq checkpoint", usage=""
      )
      parser.add_argument(
          "--model",
          "-m",
          type=str,
          default="checkpoint_best.pt",
          help="path of LightSeq checkpoint",
      )
      args = parser.parse_args()
      return args
  
file_path: lightseq/examples/inference/python/export/ls_transformer_ptq_export.py
imports: import argparse
  import time
  import numpy
  import torch
  from transformers import BertTokenizer
  from proto.quant_transformer_pb2 import QuantTransformer
  from lightseq.training import export_ls_config, export_ls_embedding_ptq, export_ls_encoder_ptq, export_ls_decoder_ptq, LSTransformer
  import lightseq.inference
label_desc: Use image node_id 7 for calling a global function with example usage: parse_args() and returns: args