Discriminator loss function

[baumgach]

I don't understand how exactly the loss function in line 5 of algorithm 1 in the original WGAN paper is implemented here. In your code you minimise

self.discriminator_loss = discriminator_loss_fake + discriminator_loss_real

However, according to the paper shouldn't it be maximising:

self.discriminator_loss = discriminator_loss_real - discriminator_loss_fake

or alternatively minimising:

self.discriminator_loss = discriminator_loss_fake - discriminator_loss_real

That is, should this be a minus in your total loss?

[haleqiu]

I thought the first algorithm is implemented for cross entropy, which
discriminator_loss_fake + discriminator_loss_real