AI Suite - Is layout transformation useful in more scenarios?

Hello Altera Community

Layout transformation is  difficult to wrap your head around.

I understand that it is useful when the input is an image with R,B,G channels, and the operation is convolution for feature extraction. I understand it this way: The current input and filter is put into the same feature for the PE to process this cycle. But it is possible to process more channels, so it goes up the timeline of input and also folds that into the current input?

Is this only useful when doing image stuff or can it also be utilized when doing simple linear stuff?

Thanks in advance