from keras.optimizers import Adam, RMSprop

discriminator.trainable = False

gan_input = keras.Input(shape=(latent_dim,))
gan_output = discriminator(generator(gan_input))
gan = keras.models.Model(gan_input, gan_output)

gan_optimizer = keras.optimizers.RMSprop(lr = 0.0004, clipvalue = 1.0, decay = 1e-8)
gan.compile(optimizer = gan_optimizer, loss = 'binary_crossentropy')

discriminator_optimizer = keras.optimizers.RMSprop(
  lr = 0.0008,
  clipvalue = 1.0,
  decay = 1e-8
)
discriminator.compile(optimizer = discriminator_optimizer,
                      loss='binary_crossentropy')