because we can just use a pixel CNN with mass convolutions and you do the predictions at every single local position using a one by one composition so the recipe for CPC v2 is this train on unlabeled image net train as long as possible so we trained for 500 bucks and this basically takes you like approximately a week and you augment every single local patch with a lot of species and color augmentations so like I already mentioned in the doors work on relative position prediction making a lot of spatial jitters is really useful