ce7dc229bea184b9d606a1fe6a19a30c2c4a0d36,aae/adversarial_autoencoder.py,AdversarialAutoencoder,train,#AdversarialAutoencoder#,116

Before Change

            // Train the discriminator
            d_loss_real = self.discriminator.train_on_batch(latent_real, valid)
            d_loss_fake = self.discriminator.train_on_batch(latent_fake, fake)
            d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)

After Change

            // Train the discriminator
            d_loss_real = self.discriminator.train_on_batch(latent_real, np.ones((half_batch, 1)))
            d_loss_fake = self.discriminator.train_on_batch(latent_fake, np.zeros((half_batch, 1)))
            d_loss = 0.5 * np.add(d_loss_real, d_loss_fake)

Instances