iree-org / iree

A retargetable MLIR-based machine learning compiler and runtime toolkit.
http://iree.dev/
Apache License 2.0
2.85k stars 620 forks source link
compiler cuda jax machine-learning mlir pytorch runtime spirv tensorflow vulkan

IREE: Intermediate Representation Execution Environment

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 Discord Status pre-commit OpenSSF Best Practices

Project Status

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

Release status

Package Release status
GitHub release (stable) GitHub Release
GitHub release (nightly) GitHub Release
Python iree-base-compiler PyPI version
Python iree-base-runtime PyPI version

Build status

CI PkgCI

Host platform Build status
Linux CI - Linux x64 clang
CI - Linux arm64 clang
macOS CI - macOS x64 clang
Windows CI - Windows x64 MSVC

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

Communication Channels

Related Project Channels

Architecture Overview

IREE Architecture IREE Architecture

See our website for more information.

Presentations and Talks

Community meeting recordings: IREE YouTube channel

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.