m as long as the row itself okay so their last step is going to be to say okay we have one by m right here and that's going to be the row itself now you can see right here that they say axial attention reduces the complexity to hwm this enables global receptive field which is achieved by setting the span m directly to the whole input features optionally one could also use a fixed m value in order to reduce memory footprint on huge feature maps which is something that they're going to do later on imagenet i believe so when they