commit | 687471989a94449d21bda587f1f6cb8b7056655e | [log] [tgz] |
---|---|---|
author | Ben Vanik <benvanik@google.com> | Tue Oct 26 20:38:45 2021 -0700 |
committer | GitHub <noreply@github.com> | Tue Oct 26 20:38:45 2021 -0700 |
tree | 3845a2ea7f587bbde632c7da5e2d029f00f4fd60 | |
parent | e13e65c4798ebe4ae5439db97b271c30d7d2bb6f [diff] |
Switching to using our own flatcc compiler library. (#7468) We were already doing our own runtime library slicing, and we have to do our own compiler build for bazel, so this is consistent and lets us avoid including their cmake file (and the issues that creates).
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.