[PluginAPI] Experimental support for dynamic compiler plugins (#24892) Load experimental compiler plugins at runtime with `--iree-load-plugin` or `IREE_LOAD_PLUGINS`. Validate plugin metadata and registration, and allow embedded compilers to recover from failed dynamic registrations. Use one automatically generated compatibility ID derived from the plugin API headers. This is not a full ABI fingerprint: plugins need matching IREE and LLVM/MLIR revisions, compatible toolchains, and aligned ABI-affecting build settings. An attempt is made to document these requirements and cover loader failures, but it should be considered experimental. Co-authored-by: Jelle Schühmacher <schuehmacher@roofline.ai> Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com> --- <sub>Stack created with <a href="https://github.com/github/gh-stack">GitHub Stacks CLI</a> • <a href="https://gh.io/stacks-feedback">Give Feedback 💬</a></sub> --------- Signed-off-by: Jelle Schühmacher <schuehmacher@roofline.ai> Co-authored-by: Florian Walbroel <florian.walbroel@rwth-aachen.de> Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
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.
Releases notes are published on GitHub releases.
| Package | Release status |
|---|---|
| GitHub release (stable) |  |
| GitHub release (nightly) |  |
iree-base-compiler |  |
iree-base-runtime |  |
For more details on the release process, see https://iree.dev/developers/general/release-management/.
| Operating system | Build status |
|---|---|
| Linux |  |
| macOS |  |
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
| Date | Title | Recording | Slides |
|---|---|---|---|
| 2025-06-10 | Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM) | recording | slides |
| 2025-05-17 | Introduction to GPU architecture and IREE's GPU CodeGen Pipeline | recording | slides |
| 2025-02-12 | The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised) | recording | slides |
| 2024-10-01 | Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardware | recording | |
| 2021-06-09 | IREE Runtime Design Tech Talk | recording | slides |
| 2020-08-20 | IREE CodeGen (MLIR Open Design Meeting) | recording | slides |
| 2020-03-18 | Interactive HAL IR Walkthrough | recording | |
| 2020-01-31 | End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting) | recording | slides |
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.