import tensorflow as tf
import tensorflow.keras.layers as l

import generic as g

m = tf.keras.models.Sequential([
    l.Input(shape = (2,)),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(100, activation = "relu"),
    l.Dense(1)
])

#g.train_generic(m, "ff3")
g.verify_generic(m, "ff3")