[VectorExt] Change `to_layout` `shared_memory_conversion` (#24377) Change how `shared_memory_conversion` is represented on the `to_layout` operation. So far, a unit attribute was used to simply turn shared memory conversion on/off. Now, the `shared_memory_conversion` takes an attribute, which allows us to attach for example the GPU promotion type (e.g. `use_global_load_dma`) to the operation. The motivation is to use this additional information in analyses such as https://github.com/iree-org/iree/pull/24227 as part of https://github.com/iree-org/iree/issues/23782. The representation is `AnyAttr` to (a) avoid a dependency from `VectorExt` on `IREEGPU` and (b) to allow other pipelines to use the attribute differently. The PR also adds some verification to the `LoweringConfigAttr` to avoid having to repeatedly check that the list of promoted operands and promotion types has the same length. Assisted-by: Codex --------- Signed-off-by: Lukas Sommer <lukas.sommer@amd.com>
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.