code: def parse_args():
      parser = argparse.ArgumentParser(description="Go NGCF")
      parser.add_argument(
          "--batch_size",
          type=int,
          default=1024,
          help="the batch size for bpr loss training procedure",
      )
      parser.add_argument(
          "--recdim",
          type=int,
          default=64,
          help="the embedding size of NGCF",
      )
      parser.add_argument(
          "--n_layers",
          type=int,
          default=3,
          help="the layer num of NGCF",
      )
      parser.add_argument(
          "--lr", type=float, default=0.0001, help="the learning rate"
      )
      parser.add_argument(
          "--decay",
          type=float,
          default=1e-5,
          help="the weight decay for l2 normalizaton",
      )
      parser.add_argument(
          "--test_batch_size",
          type=int,
          default=1024,
          help="the batch size of users for testing",
      )
      parser.add_argument(
          "--dataset",
          type=str,
          default="gowalla",
          help="available datasets: [lastfm, gowalla, yelp2018, amazon-book]",
      )
      parser.add_argument(
          "--path",
          type=str,
          default="./checkpoints",
          help="path to save weights",
      )
      parser.add_argument(
          "--topks", nargs="?", default="[20]", help="@k test list"
      )
      parser.add_argument("--epochs", type=int, default=1000)
      parser.add_argument(
          "--seed", type=int, default=2020, help="random seed"
      )
      return parser.parse_args()
  
file_path: PGL/examples/ngcf/train.py
imports: import pgl
  import paddle
  import paddle.nn
  from dataloader import Loader
  from model import *
  from utils import *
  import numpy
  import paddle
  import paddle.nn
  import paddle.nn.functional
  import time
  import multiprocessing
  from tqdm import tqdm
  from time import time
  import argparse
label_desc: Use image node_id 4 for calling a global function with example usage: parse_args() and returns: parser