commit | 480c4f4a0bf49d3dda45cab6691d2a7b0519d004 | [log] [tgz] |
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author | Kunwar Grover <groverkss@gmail.com> | Mon Nov 18 17:03:36 2024 +0000 |
committer | GitHub <noreply@github.com> | Mon Nov 18 17:03:36 2024 +0000 |
tree | df2d6eca4a14782225d5ba128e531684bd3b3df6 | |
parent | 29c451b00ecc9f9e5466e9d1079e0d69147da700 [diff] |
Integrate LLVM at 2f925d75dee8b4012d747d889ac4bb1d8a31d5a0 (#19184) Still carrying a revert for 1004865f1ca41a9581da8747f34b29862d3ebc3d Dropped the reverts on 3ad0148020ca91cc288bffd8ad36e25f7555a3bb and c02b8a01b7caf2e4ffe17a123f1bcf59192e4b39 after fixes upstream. Also carries a cherry pick for https://github.com/llvm/llvm-project/pull/116650
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.