code: def get_args():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "-task_config",
          "--task_config",
          required=True,
          type=str,
          help="path to the config file",
      )
      parser.add_argument(
          "--grid_search", action="store_true", help="flag: grid search"
      )
      args = vars(parser.parse_args())
  
      return args
  
file_path: graph4nlp/examples/pytorch/kg_completion/inference.py
imports: import argparse
  import os
  import numpy
  import torch
  import torch.backends.cudnn
  from graph4nlp.pytorch.data.dataset import KGCompletionDataItem, KGCompletionDataset
  from graph4nlp.pytorch.datasets.kinship import KinshipDataset
  from graph4nlp.pytorch.inference_wrapper.classifier_inference_wrapper import ClassifierInferenceWrapper
  from graph4nlp.pytorch.modules.utils.config_utils import get_yaml_config
  from main import KGC
label_desc: Use image node_id 3 for calling a global function with example usage: get_args() and returns: args