| commit | 62a996bd9abcf8577f996306b7ff20ca2608f790 | [log] [tgz] |
|---|---|---|
| author | Quinn Dawkins <quinn.dawkins@gmail.com> | Mon May 20 20:00:35 2024 -0400 |
| committer | GitHub <noreply@github.com> | Tue May 21 00:00:35 2024 +0000 |
| tree | f56dea6cddef750c4e026c5aed842979913ad57a | |
| parent | 080b1fa520a73f835db37049a39a735d6b175b7b [diff] |
[Codegen] Add lane distribution for scf.forall (#17373) This adds a new type of mapping id, iree_gpu.lane_id, and an op to distribute forall ops mapping to it. Lane mapped forall ops require that the thread count exactly matches with the subgroup count, so this is added downstream due to incompatibility with upstream lowerings, however this should be upstreamed in the future.
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler and runtime that lowers Machine Learning (ML) models to a unified IR that scales up to meet the needs of the datacenter and down to satisfy the constraints and special considerations of mobile and edge deployments.
See our website for project details, user guides, and instructions on building from source.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels!
See our website for more information.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.