code: def argsparser():
      parser = argparse.ArgumentParser("STFPM")
      parser.add_argument(
          "--config",
          type=str,
          default=None,
          help="Path of config",
          required=True,
      )
      parser.add_argument("--device", type=str, default=None)
      parser.add_argument("--batch_size", type=int, default=None)
      parser.add_argument("--num_workers", type=int, default=None)
      parser.add_argument("--seed", type=int, default=None)
      parser.add_argument("--data_path", type=str, default=None)
      parser.add_argument("--save_path", type=str, default=None)
      parser.add_argument("--category", type=str, default=None)
      parser.add_argument("--resize", type=list, default=None)
      parser.add_argument("--backbone", type=str, default=None)
      parser.add_argument("--do_eval", type=bool, default=None)
      parser.add_argument(
          "--epochs", type=int, default=None, help="number of epochs"
      )
      parser.add_argument(
          "--lr", type=float, default=None, help="learning rate"
      )
      parser.add_argument(
          "--momentum", type=float, default=None, help="momentum"
      )
      parser.add_argument(
          "--weight_decay",
          type=float,
          default=None,
          help="weight_decay",
      )
  
      parser.add_argument("--print_freq", type=int, default=20)
      return parser.parse_args()
  
imports: import os
  import sys
  import time
  import random
  import datetime
  import argparse
  from glob import glob
  import numpy
  from sklearn.model_selection import train_test_split
  import paddle
  import paddle.nn.functional
  import paddle.optimizer
  from paddle.io import DataLoader
  from paddle.vision import transforms
  from qinspector.uad.models.stfpm import ResNet_MS3
  from qinspector.uad.datasets.mvtec import MVTecDatasetSTFPM
  from qinspector.cvlib.uad_configs import ConfigParser
  from val import val, cal_error
label_desc: Use image node_id 1 for calling a global function with example usage: argsparser() and returns: parser