commit | 09e5d1d9ad7d640b7b6078aab316ea0322c0f37f | [log] [tgz] |
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author | MaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com> | Fri Jan 26 09:17:38 2024 -0800 |
committer | GitHub <noreply@github.com> | Fri Jan 26 09:17:38 2024 -0800 |
tree | ce432c017f7f09ae24aeff899245c7b71d9e96ff | |
parent | f3b008c6db310f787ad76f151c21a30f72b14794 [diff] |
Bump LLVM to https://github.com/llvm/llvm-project/pull/77874 (#16221) [Advance LLVM to 76ead96c1d06ee0d828238bce96d0107e650b5fa: [mlir][TilingInterface] Use `LoopLikeOpInterface` in tiling using SCF to unify tiling with `scf.for` and `scf.forall`. (#77874) (MaheshRavishankar on 2024-01-25 21:26:23 -0800) (40 of 41) --------- Co-authored-by: hanhanW <hanhan0912@gmail.com>
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.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.