code: def __init__(self, params, feature_size=784):
      config = []
  
      for i in range(4):
          config.append(params["layer" + str(i)])
      self.config = config
      self.feature_size = feature_size
      self.label_size = 10
  
imports: from __future__ import absolute_import, division, print_function
  import logging
  import math
  import tempfile
  import time
  import argparse
  import tensorflow
  from tensorflow.examples.tutorials.mnist import input_data
  import nni
label_desc: Use image node_id 1 to create a new MnistNetwork object from inherited base classes: object with example: obj = MnistNetwork(params, feature_size)