unitTesting.py

# Imports
import tensorflow as tf
from sklearn.datasets import make_multilabel_classification
from sklearn.model_selection import train_test_split
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
from tensorflow.keras.losses import binary_crossentropy
from tensorflow.keras.optimizers import Adam

def paramchange():
  image = tf.placeholder(tf.float32, (None, 100, 100, 3))
  model = Model(image)
  sess = tf.Session()
  sess.run(tf.global_variables_initializer())
  before = sess.run(tf.trainable_variables())
  _ = sess.run(model.train, feed_dict={
               image: np.ones((1, 100, 100, 3)),
               })
  after = sess.run(tf.trainable_variables())
  for b, a, n in zip(before, after):
      # Make sure something changed.
      assert (b != a).any()