what is the algorithm that's used to optimize this so what the algorithm looks like is we first sample a task from our meditating data set or a mini batches of tasks then for that task we have a data set di and will sample disjoint data sets D tre and I and D test I from that data set and then once we have so I guess what this looks like I say these are the images corresponding to tasks i we want to be able to partition this or basically sample this sample D train and sample t-tests from from this data set and so we'll assign