code: def get_args():
      """get args from command line"""
      parser = argparse.ArgumentParser("FashionMNIST")
      parser.add_argument(
          "--batch_size", type=int, default=128, help="batch size"
      )
      parser.add_argument(
          "--optimizer", type=str, default="SGD", help="optimizer"
      )
      parser.add_argument(
          "--epochs", type=int, default=200, help="epoch limit"
      )
      parser.add_argument(
          "--learning_rate",
          type=float,
          default=0.001,
          help="learning rate",
      )
      parser.add_argument(
          "--cutout",
          action="store_true",
          default=False,
          help="use cutout",
      )
      parser.add_argument(
          "--cutout_length", type=int, default=8, help="cutout length"
      )
      parser.add_argument(
          "--model_path",
          type=str,
          default="./",
          help="Path to save the destination model",
      )
      return parser.parse_args()
  
file_path: nni/examples/trials/network_morphism/FashionMNIST/FashionMNIST_pytorch.py
imports: import argparse
  import logging
  import sys
  import nni
  from nni.networkmorphism_tuner.graph import json_to_graph
  import torch
  import torch.nn
  import torch.optim
  import torchvision
  import utils
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: parser