gan.py

class GAN:
  def __init__(self, z_vector, true_images):
    # Pretend these are implemented.
    with tf.variable_scope("gen"):
      self.make_geneator(z_vector)
    with tf.variable_scope("des"):
      self.make_descriminator(true_images)
    opt = tf.AdamOptimizer()
    train_descrim = opt.minimize(self.descrim_loss)
    train_gen = opt.minimize(self.gen_loss)