it just performed the same so i i just might have a dumb suggestion right here in any case they simply replace in we've come a long way right we've gone to like neighborhoods and blah blah blah ultimately take a res net replace the convolutions with the height axis attention and the width access attention and we're good and then we come to results so that's it you have these positional embeddings you have the axial attention and it turns out that on imagenet they perform fairly fairly well so you can see that models