4aa41625bf0e32eecf96b825db2d8f273fa40183,examples/variational_autoencoder_deconv.py,CustomVariationalLayer,call,#CustomVariationalLayer#Any#,127

Before Change

        loss = self.vae_loss(x, x_decoded_mean_squash)
        self.add_loss(loss, inputs=inputs)
        // we don"t use this output, but it has to have the correct shape:
        return K.ones_like(x)


loss_layer = CustomVariationalLayer()([x, x_decoded_mean_squash])

After Change

        loss = self.vae_loss(x, x_decoded_mean_squash)
        self.add_loss(loss, inputs=inputs)
        // We don"t use this output.
        return x


y = CustomVariationalLayer()([x, x_decoded_mean_squash])
vae = Model(x, y)

Instances