commit | 93ba91285181f9dd7b62e75a5806ee43b9d77dfc | [log] [tgz] |
---|---|---|
author | Scott Todd <scotttodd@google.com> | Tue Nov 09 15:09:59 2021 -0800 |
committer | GitHub <noreply@github.com> | Tue Nov 09 15:09:59 2021 -0800 |
tree | 78558f52c168070ad9e5223348802690ec3ab601 | |
parent | 906290be55c25fdae06fdc578a546353346a2e7a [diff] | |
parent | b5aba5554a37c0e3ef77c4b2c2d872e030761d9e [diff] |
Merge google -> main (#7581) * b5aba5554 Merge pull request #7579 from ScottTodd:main-to-google * 236463234 Synchronize submodules with LLVM at llvm/llvm-project@3bdf738d1b7e * 6b5b6c9c3 Integrate LLVM at llvm/llvm-project@3bdf738d1b7e * 0ac9e4430 Integrate LLVM at llvm/llvm-project@6706a4720ffc * df9a663c2 Integrate LLVM at llvm/llvm-project@ca47447952f1
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.