Used in https://towardsdatascience.com/gated-multimodal-units-for-information-fusion-966a9a2e1c54

gmu4.py

sess = tf.Session()

def train(train_op, loss):
    sess.run(tf.global_variables_initializer())
    losses = []
    for epoch in xrange(100):
        _, l = sess.run([train_op, loss], {visual: x_v,
                                           textual: x_t,
                                           target: c})
        losses.append(l)

    plt.plot(losses, label='loss')
    plt.title('loss')
    
train(train_op, loss)