things so so one they feed it through the same model and and then as well they take that sample the unlabeled sample and then they apply some augmentation to it so we'll get into all these different segmentation strategies so that results in X hat so this would be their their Q the transformation function so they get X hat and then they feed that through the model as well and then they take the the output of the model on X and on X hat and they feed that into the unsupervised loss function and that's the the KL