commit | e986cdb66dae78cc4547c4cafc311068e9a57996 | [log] [tgz] |
---|---|---|
author | Thomas <thomasraoux@google.com> | Thu Dec 01 13:04:54 2022 -0800 |
committer | GitHub <noreply@github.com> | Thu Dec 01 21:04:54 2022 +0000 |
tree | 737ec0d3c369b5231eabbca7b30b703c9fdacef3 | |
parent | 875331234d99ecf9609ef5a9f12909102c385c78 [diff] |
Integrate at llvm/llvm-project@61aed52c and bump dependencies (#11393) LLVM: 61aed52c9ec0bca9979922ed2762785ec1f39755 MHLO: 00cbb603af9179ab6b792b583f4eb7999c0c7cc8 TF: cfe950a3f9b48555816aeece894ed6a7a2271749 carried cherry-pick: 4c23f93b2fae3fb76dc841d6e875ac598100c074 78c792324c5ecf32e1ddd44ce306429667c2cec5 dd6655376816622ffa9a344c651c7ea7be5cb2e7 Additional change: remove usage of enableLowerPermutationMaps
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.