| commit | c81bee9515f54e43fe2b3107c7a5034658bbc529 | [log] [tgz] |
|---|---|---|
| author | Geoffrey Martin-Noble <gcmn@google.com> | Wed Jun 16 21:40:00 2021 +0000 |
| committer | Copybara Fixup Action <iree-github-actions-bot@google.com> | Wed Jun 16 21:40:00 2021 +0000 |
| tree | 236d0f0cee28e54457dfd37961e55e5e9b1fb3bd | |
| parent | f5a1e55e3f3c5f5c8859c1b5cb32a658bfcdad07 [diff] | |
| parent | fac2530c430b1ea846e4501243eee197dbf3086d [diff] |
Merge main -> google * 037497fdf Add a facility so that the Python API will save off all temporaries. (#6229) * 5d5bce260 Adding notes for how to use executable_library_benchmark. (#6224) * 4d892f7e8 Fix incorrect license headers (#6213) * 8eb963555 Mark py-pure-pkgs release as non experimental. * 303f865bb IREE Static Library Loader Compiler Integration (#5950) * aa7409fc0 Update various third_party/ deps. (#6209) PiperOrigin-RevId: 379813704
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!
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.