code: def make_basic_picklable_cnn(
      nb_filters=64, nb_classes=10, input_shape=(None, 28, 28, 1)
  ):
      """The model for the picklable models tutorial."""
      layers = [
          Conv2D(nb_filters, (8, 8), (2, 2), "SAME"),
          ReLU(),
          Conv2D(nb_filters * 2, (6, 6), (2, 2), "VALID"),
          ReLU(),
          Conv2D(nb_filters * 2, (5, 5), (1, 1), "VALID"),
          ReLU(),
          Flatten(),
          Linear(nb_classes),
          Softmax(),
      ]
      model = MLP(layers, input_shape)
      return model
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  from cleverhans.picklable_model import MLP, Conv2D, ReLU, Flatten, Linear
  from cleverhans.picklable_model import Softmax
label_desc: Use image node_id 1 for calling a global function with example usage: make_basic_picklable_cnn(nb_filters, nb_classes, input_shape) and returns: model