code: def print_config(config):
      print("**************** MODEL CONFIGURATION ****************")
      for key in sorted(config.keys()):
          val = config[key]
          keystr = "{}".format(key) + (" " * (24 - len(key)))
          print("{} -->   {}".format(keystr, val))
      print("**************** MODEL CONFIGURATION ****************")
  
imports: import argparse
  import os
  import numpy
  import torch
  import torch.backends.cudnn
  from nltk.tokenize import word_tokenize
  from graph4nlp.pytorch.inference_wrapper.generator_inference_wrapper import GeneratorInferenceWrapper
  from graph4nlp.pytorch.modules.config import get_basic_args
  from graph4nlp.pytorch.modules.utils import constants
  from graph4nlp.pytorch.modules.utils.config_utils import get_yaml_config, update_values
  from graph4nlp.pytorch.modules.utils.generic_utils import EarlyStopping, to_cuda
  from main import SumModel
label_desc: Use image node_id 3 for calling a global function with example usage: print_config(config) without return types