jfm:

orderingn of the data


Hi, I think in that way the internal order is preserved, no?
In my case, imagine its a high-dimension image batch [8,64,64,64], I wanna crop this “image” tensor into 4 pieces, just like cropping images into 4 parts. So each partial “images” tensor will have [8,64,32,32]. I think torch.unfold is doing right, but am also not 100% sure. @ptrblck could you please clarify that? Thanks