[Codegen] Move remaining pipelines to `iree_codegen` attrs (#24398) Follow-up to the LLVMGPU, SPIRV, and LLVMCPU pipeline migrations (#23816, #23851, #23864). Same goal: get backend-specific pipeline identifiers out of the global `DispatchLoweringPassPipeline` enum and behind `PipelineAttrInterface`. This moves the remaining non-CPU/GPU pipeline cases to `iree_codegen`: `#iree_codegen.vmvx_pipeline`, `#iree_codegen.transform_dialect_codegen`, and `#iree_codegen.no_pipeline`. It keeps custom pass pipelines represented as `#iree_codegen.pass_pipeline<...>`. These attrs intentionally stay in `iree_codegen`. `vmvx_pipeline` does not move to a backend dialect because IREE does not have a VMVX codegen dialect today; it can become a backend-owned enum attr if such a dialect is introduced later. `transform_dialect_codegen` and `no_pipeline` are also codegen-level sentinels, so modeling the remaining cases as unit attrs avoids creating dialect surface just for pipeline spelling. After this, `TranslationInfoAttr` and `iree_codegen.smt.constraints` parse pipeline attributes directly through the interface. The old enum, keyword compatibility parser, helper predicates, and textual parsing in Python dialect tests can be removed. Issue: https://github.com/iree-org/iree/issues/23535 Assisted-by: codex
IREE (Intermediate Representation Execution Eenvironment, 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 | |
| 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.