commit | d3eef09090d8ad5fba335d7921895e1fdf600e45 | [log] [tgz] |
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author | Jakub Kuderski <jakub@nod-labs.com> | Thu Nov 28 09:57:07 2024 -0500 |
committer | GitHub <noreply@github.com> | Thu Nov 28 14:57:07 2024 +0000 |
tree | 6318c1889d70f381d339c600740890952bd06226 | |
parent | 7f9958760578bb84ecc61b1443690ce101b4867f [diff] |
Integrate llvm-project at 07a8ebed56cfa223d1587903e4de0d5788b5f777 (#19334) Still carrying a revert for 1004865f1ca41a9581da8747f34b29862d3ebc3d and a cherry pick for https://github.com/llvm/llvm-project/pull/116650. Removed `FieldParser`s for optional enums that get autogenerated as of https://github.com/llvm/llvm-project/pull/117719.
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
Package | Release status |
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GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-base-compiler | |
Python iree-base-runtime |
Host platform | Build status |
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Linux | |
macOS | |
Windows |
For the full list of workflows see https://iree.dev/developers/general/github-actions/.
See our website for more information.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.