commit | 769ffda7c2346e3bba26918f7bbd132bcde5101d | [log] [tgz] |
---|---|---|
author | Nicolas Vasilache <nicolasvasilache@users.noreply.github.com> | Mon Mar 06 09:20:27 2023 +0100 |
committer | GitHub <noreply@github.com> | Mon Mar 06 08:20:27 2023 +0000 |
tree | 6c95fc66a61c8f90425f265e51b77ed992cc354e | |
parent | d015bbc5f1e0c6b117e5e1fbbbf8f42c381e09fb [diff] |
Evolve transform dialect usage towards non-blanket-canonicalized sequences (#12465) This revision evolves our usage of the transform dialect to be more in line with recent evolutions upstream related to rewriters and listeners. This is also related to #12444 for which it aims at surfacing potential errors more proactively. This rewrite surfaces 2 places upstream that do not take a RewriterBase and that we should fix to avoid footguns: 1. `moveLoopInvariantCode` 2. `promoteIfSingleIteration`
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.