Question about prior matching

[kosta-jo]

Question about prior matching

[rdevon]

So it's not entirely opaque because of how cortex works (apologies as this was a framework I worked on a while ago and which I couldn't get enough help to support on). When the model "adds losses" as it does at the end of that routine function, those losses only apply to the parameters of the model specified in the keys used in that function. So when I say "self.add_losses(encoder=some_loss)", if some_loss depends on the parameters of some other network / model, those parameters wont change according to some_loss, unless I also say "discriminator=some_loss".

Hope that clears things up.

[kosta-jo]

Great, thanks!