[LLVMGPU] Fall back to scalar lowering for tiny attention shapes (#24239) The attention `VectorDistribute` configs (both the MMA-intrinsic path and the memory-bound reduction path) assume head dimensions and K2 reach a certain size. For shapes below that threshold (e.g. Q=K=V=[2,2,2,2] f16), the reduction path still succeeds at emitting a `VectorDistribute` config, but the tile sizes it picks produce vector ops whose shapes the layout engine cannot support, causing the failure in https://github.com/iree-org/iree/issues/24221 Add early bailouts for the shapes that cannot be tiled cleanly. --------- Signed-off-by: Keshav Vinayak Jha <keshavvinayakjha@gmail.com> Co-authored-by: Lukas Sommer <lsommer@amd.com> Co-authored-by: GPT-5 <noreply@openai.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.