Hi everyone, I am a bit of a newbie in PyTorch and I have a very basic issue that I am having trouble with.
I have two matrices A and B, with different number of rows, but same number of columns.
Basically, A and B are different collections of same-sized vectors.
What I am trying to do is to subtract each vector in B from each vector in A.
This minimal example does exactly what I’m trying to accomplish:
a = torch.tensor([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) b = torch.tensor([[1, 1, 1], [2, 2, 2]]) c = torch.stack([a-x for x in b])
but of course I would like to get rid of that ugly “for” cycle, which I guess is not good for performances.
I think I need some sort of
torch.diff(a, b, axis=1).
Does something like that exist?