code: def conv2(model):
      model.add(Conv2D(64, (3, 3)))
      model.add(Activation("relu"))
      return model
  
file_path: Hyperactive/examples/optimization_applications/pretrained_nas.py
imports: import numpy
  import keras
  from keras.models import Sequential
  from keras.layers import Dense, Conv2D, MaxPooling2D, Flatten, Activation, Dropout
  from keras.datasets import cifar10
  from keras.utils import to_categorical
  from hyperactive import Hyperactive
label_desc: Use image node_id 3 for calling a global function with example usage: conv2(model) and returns: model