[CI] Add bare-metal RISCV 64 sample and QEMU smoke test (#24844) Adds `samples/baremetal_riscv64`, a single-op inference runner for bare-metal RISCV 64 under `qemu-system-riscv64` (`-machine virt`, no OS, semihosted I/O), together with a pkgci smoke test. The sample covers two execution paths: - `llvm-cpu` using `inline-dynamic` and the embedded-ELF loader. - `vmvx-inline` using `inline-static`. The runner uses the inline HAL instead of the full-HAL implementation following `samples/simple_embedding`, because HAL device creation currently requires a proactor that `IREE_PLATFORM_GENERIC` does not provide. The runtime is compiled and linked using an xPack GCC/newlib sysroot. Its newlib is built with `-mcmodel=medany` required for QEMUs RAM base and provides `semihost.specs` for semihosted I/O and exit handling. No HAL device drivers are enabled; the embedded-ELF loader is enabled explicitly for the LLVMCPU runner. The sample is `EXCLUDE_FROM_ALL` and CI builds only `samples/baremetal_riscv64/all`, so it does not affect other Generic RISCV builds. Assisted-by: Claude Code Signed-off-by: Pooja Hemashekar <hemashekar@roofline.ai>
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.