fix(CI): long-running emulated rv64 matmul integration tests (#24593) The RISCV-64 e2e matmul integration tests without the ukernels are very long-running under QEMU emulation, and were causing timeouts in CI. This PR disables the generic (non-uk) vectorization path for those tests until we properly support codegen. (Claude-generated summary) ## Summary The RISC-V 64 e2e matmul integration tests that run **without ukernels** (`--iree-opt-data-tiling --iree-llvmcpu-enable-ukernels=none`) are extremely slow under QEMU and were timing out CI (60 s per-test limit). This PR adds `noriscv` to all non-ukernel `dt`/`experimental_dt` matmul variants, since the generic vectorization path for data-tiled matmul is not yet properly supported on RISC-V — only the ukernel path is validated there. **Why it's slow:** with data-tiling on but ukernels off, the packed `mmt4d` is lowered through generic vectorization. For the wide `M0×N0` tile it selects (`N0 = VLEN/8`, `M0 = 7`), the widening multiply-accumulate has no vector×scalar form, so the inner loop rebuilds the LHS broadcast every K-step via a storm of `vsetvli` reconfigurations and `vrgather`/`vslideup` permutes — e.g. for i8 at VLEN=256, ~118 `vsetvli` + ~19 `vrgather` per dispatch, vs ~2 `vsetvli` and no gathers for the ukernel. QEMU emulates every vector instruction element-by-element, and `vsetvli`/`vrgather`/`vslide` are among the costliest to emulate, so the full shape set runs for tens of seconds and trips the timeout. `dt_i8_i32` and `experimental_dt_i8_i32` hit it first; `dt_f32_f32` was already at ~52 s (one slow runner from flaking). Failing CI run: https://github.com/iree-org/iree/actions/runs/27192246864/job/80276315195 **Emulation vs. real hardware:** the timeout is largely a QEMU artifact. On a SpaceMiT X60 (VLEN=256, native), the heaviest shape (540×332×516) runs in milliseconds — but the generic path is still 3.5–6× slower than the ukernel path, confirming it exercises an unsupported/unoptimized path rather than just an emulator quirk: | variant (540×332×516) | 1 thread | 8 threads | generic ÷ ukernel | |---|---|---|---| | i8 generic | 123 ms | 37.9 ms | **6.1×** | | i8 ukernel | 20.3 ms | 6.15 ms | — | | f32 generic | 108 ms | 29.1 ms | **3.5×** | | f32 ukernel | 30.9 ms | 9.08 ms | — | (The gap is specific to the wide-`M0` tile; narrow-M shapes pick `M0=1`, emit clean `vwmacc.vx`, and are ~1.3×.) 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 | |
| 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.