[Codegen][CPU] Lower RISC-V V f16 vfmacc, vfwmacc, and Zvfhmin inner_tiled MMA. (#25000) Lowers the RISC-V V f16 `inner_tiled` MMA paths. Native f16 enums are already on main from #24858. This adds lowering, the widening `vfwmacc.vf` pair, and the `+zvfhmin`-only fallbacks. All of them reuse `lowerRiscvVFmaccLike` and the hoisted accumulator legalization from #24933. Tile N is `vlen/8`. | Encoding | `+zvfh` | `+zvfhmin` only | | --- | --- | --- | | f16×f16→f16 | `llvm.riscv.vfmacc` (`MMA_RISCV_V_VFMACC_*_F16_F16`) | `extf` the accumulator to f32, f32 `vfmacc`, `truncf` back (`*_F16_F16_WIDENF32`) | | f16×f16→f32 | `llvm.riscv.vfwmacc` (`MMA_RISCV_V_VFWMACC_*_F32_F16`) | `extf` both panels, then f32 `vfmacc` (`*_F32_F16_CASTF32`) | `+zvfh` implies `+zvfhmin`. When both are legal, the earlier enum wins: native `vfmacc` for an f16 accumulator, `vfwmacc` for an f32 accumulator. At VLEN=256 the cost model picks `intrinsics_m` 14 (native), 7 (`vfwmacc`), and 6 (both `+zvfhmin` paths). CASTF32 and WIDENF32 bill the widened f32 vector operand as f32. Performance is tracked on #24932. On the X60 (VLEN=256), 1-thread inner_tiled is faster than the mmt4d ukernel for native f16 and `vfwmacc`. The 4-thread and 8-thread large shapes are still slower. Native f16 is non-widening `vfmacc`; the f16 ukernel widens with `vfwmacc`, so that ratio is not the same instruction sequence. `vfwmacc` is the closer comparison. Assisted-by: Cursor Towards #24311 --------- Signed-off-by: Terence <terrencemahlatini@gmail.com> Co-authored-by: Cursor <cursoragent@cursor.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.