captured by the loss function at all so unfortunately we don't know the answer to that so I guess what what I know for sure is like if you just scramble the image like like I mean just permute the dimensions in your image tenser then I'm pretty sure you would do full but then like is does that mean like this is no useful probably not but this still means that we don't fully understand what are the inductive biases they're helping us but that's a good question yes like right so I guess so so the common is around like the a lot of these