Add lowering for insert_slice-like scatter ops (KV-cache)#2771
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Wheest wants to merge 1 commit intoopenxla:mainfrom
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Add lowering for insert_slice-like scatter ops (KV-cache)#2771Wheest wants to merge 1 commit intoopenxla:mainfrom
insert_slice-like scatter ops (KV-cache)#2771Wheest wants to merge 1 commit intoopenxla:mainfrom
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insert_slice-like scatter ops (KV-cache)
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Coming from #1758, this PR adds a lowering for a narrow case of
stablehlo.scatter, namely those that are equivalent to atensor.insert_slice.This is a common case, since it's how KV-cache updates are modelled when exporting from PyTorch.
The code is adapted from an implementation in the catalyst compiler by @erick-xanadu, expanded to cover the cases I saw coming out of PyTorch.
The conversion produces
tensor.insert_sliceops, rather than linalg. This may or may not be acceptable, but I'm putting the PR up first to get thoughts.I don't believe there's an exact equivalent to
insert_slicein linalg, but I think it could be achieved with alinalg.generic. However, since the StableHLO conversion inserts a bunch oftensorops anyway, I don't think lowering totensor.insert_slicedirectly is against the spirit of what already exists.All other cases of scatter will be left as-is, but given it's quite a complex op, this pattern will provide near-term utility while a more general purpose lowering is cooked up.
Note to reviewers, this is my first contribution to the project, so there may some workflow things I've missed.