code: def get_args():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "-config",
          "--config",
          required=True,
          type=str,
          help="path to the config file",
      )
      args = vars(parser.parse_args())
  
      return args
  
imports: import argparse
  import os
  from typing import List
  import numpy
  import torch
  import torch.backends.cudnn
  import torch.multiprocessing
  import yaml
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.data.dataset import Text2LabelDataItem, Text2LabelDataset
  from graph4nlp.pytorch.inference_wrapper.classifier_inference_wrapper import ClassifierInferenceWrapper
  from graph4nlp.pytorch.modules.utils import constants
  from .run_text_classifier import TextClassifier
label_desc: Use image node_id 2 for calling a global function with example usage: get_args() and returns: args