[LLVMCPU] `vlen` attribute for DataTiledMMAAttr for RISCV + FP16 port (#24858) For RISC-V, the vector length per SIMD register is not fixed and is configurable. Therefore, the tile shape of an intrinsic and the total SIMD register bit budget is also parameterized by the vector length. In order for all of these vector length configurations to share a single intrinsic and not duplicate it per-configurable-vlen, we add a `vlen` parameter to the `DataTiledMMAAttr`, which in combination with the intrinsic itself gives the exact shape information, as well as the register budget. These are derived from the `+zvl*b` flags. Furthermore, add materialization for data-tiled f16 matmul encodings to `iree_codegen.inner_tiled` on RISC-V V targets with Zvfh, as the first consumer of the `vlen` attribute parameter. Lowering to LLVM intrinsics is not included. Towards https://github.com/iree-org/iree/issues/24311 Assisted-by: Claude Code --------- Signed-off-by: Ege Beysel <beyselege@gmail.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.