code: def get_args():
      """get args from command line"""
      parser = argparse.ArgumentParser("fashion_mnist")
      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(
          "--weight_decay",
          type=float,
          default=1e-5,
          help="weight decay of the learning rate",
      )
      return parser.parse_args()
  
file_path: nni/examples/trials/network_morphism/FashionMNIST/FashionMNIST_keras.py
imports: import argparse
  import logging
  import os
  import tensorflow
  import keras
  from keras.callbacks import EarlyStopping, TensorBoard
  from keras.datasets import fashion_mnist
  from keras.optimizers import SGD, Adadelta, Adagrad, Adam, Adamax, RMSprop
  from keras.utils import multi_gpu_model, to_categorical
  import keras.backend.tensorflow_backend
  import nni
  from nni.networkmorphism_tuner.graph import json_to_graph
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: parser