Concatenate dimensions in a tensor

[JuanFMontesinos (Juan Montesinos)]

Could you check this?

Difference between 2 reshaping operations (reshape vs permute)

if u have a cube c=torch.rand(3,4,5) and you use permute c=torch.rand(3,4,5) rx = c.permute(0,2,1) ry = c.permute(2,1,0) rz = c.permute(1,0,2) print(rx.size()) print(ry.size()) print(rz.size()) torch.Size([3, 5, 4]) torch.Size([5, 4, 3]) torch.Size([4, 3, 5]) you are just rotating the tensor, but order is preserved On the other hand, if you reshape you can see you are modifying the ordering because this is not rotating the cube but mapping in an ordered way from right to left. It takes n…

It’s a not very good but very graphical explanation about view and permute which may help you to order your data as you expect