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sam laki (e^-λ) Well, there we have our answer. Pytorch just doesn't bother to fuse INTO the matmul operation. It goes
[SingleOpGroup(matmul), FusionGroup(plus, abs)],
whereas I fuse all these ops into a single kernel
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sam laki (e^-λ) Or actually, it's even worse than that... I can't read...
It's [FusionGroup(matmul, add), SingleOpGroup(abs)]
It calls addmm which believe is a handwritten matmul+add kernel in torch. But then for the least expensive operation (abs) it hits the memory trip penalty.