commit | 01bf20521389ca4cecf689abbfd88a23a9dbb78e | [log] [tgz] |
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author | Scott Todd <scotttodd@google.com> | Fri Jan 06 13:11:56 2023 -0800 |
committer | GitHub <noreply@github.com> | Fri Jan 06 13:11:56 2023 -0800 |
tree | 6198053970cda179ee55bd5832ffdfd0e0d2e75a | |
parent | fe30c102c47bd02799b8b289286fe10401e3e31e [diff] |
Bump website copyright year to 2023. (#11744) We don't bump the copyright year for source code files, but this is useful to keep current and show that the project is under active development. See also: https://github.com/iree-org/iree/commit/6f4112eb79c8b1a730da333200638ac09611f1f5 for 2022, and the discussion about that [here on Discord](https://discord.com/channels/689900678990135345/692052262494797835/1026729012095107082).
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.