Optimization function evaluation

optimizer.py

with tf.Session() as sess:
    sess.run(init)

    display_step = 20
    # Fit all training data
    for iteration in range(training_iteration):
        # Run the gradient descent optimizer 
        sess.run(optimizer,  feed_dict={X: X_train, Y: Y_train})