code: def save_model(program, exe, dataset, model, feed_dict, filename):
      """Save model."""
      final_model = produce_model(
          exe, program, dataset, model, feed_dict
      )
      logging.info("saving model in %s" % (filename))
      pkl.dump(final_model, open(filename, "wb"))
  
imports: import os
  import argparse
  import time
  import numpy
  import logging
  import pickle
  import pgl
  from pgl.utils import paddle_helper
  import paddle
  import paddle.fluid
  import paddle.fluid.layers
  from utils import *
  import Dataset
  import model
  from sklearn.metrics import auc, f1_score, precision_recall_curve, roc_auc_score
label_desc: Use image node_id 7 for calling a global function with example usage: save_model(program, exe, dataset, model, feed_dict, filename) without return types