should be similar to yourself in an l1 sense so that's the lost function and then you essentially would combine these two things together and then train it I think in practice they use at least I think the in practice they use at least square again instead of the original gain objective but probably it doesn't make too much difference so they reported a couple numerical results and the first results that they look at is so in the case of going from photo to semantic mask you can actually calculate the accuracy so we can get a