sure that the predictions of the classifier or matching the true ground truth whenever you have labels so that's that's really it that's as simple as I can get the PI model basically it's using the label the distance e principle so temporal augmentation there's something slightly different which is it says hey I don't want to do four passes of two different views all the time because it's expensive why not let me just keep a moving average of these sample embeddings for every single sample and make sure that the consistencies and