gan_discriminator_model.py

def _build_and_compile_discriminator_model(self, optimizer):
    discriminator_input = Input(shape=self.img_shape)
    discriminator_sequence = Sequential(
            [Flatten(input_shape=self.img_shape),
             Dense(512),
             LeakyReLU(alpha=0.2),
             Dense(256),
             LeakyReLU(alpha=0.2),
             Dense(1, activation='sigmoid')])

    discriminator_tensor = discriminator_sequence(discriminator_input)
    self.discriminator_model = Model(discriminator_input, discriminator_tensor)
    self.discriminator_model.compile(loss='binary_crossentropy',
        optimizer=optimizer,
        metrics=['accuracy'])
    self.discriminator_model.trainable = False