[ROCM] Add rocjitsu e2e validation (#24913) I want to enable e2e testing across all recent amdgpu / rcom targets via rocjitsu, an amdgpu simulator, so that anyone with an x86 machine can run those tests regardless of the local GPU or lack thereof. Add a CPU-hosted ROCm e2e test helper for gfx942, gfx950, gfx1100, gfx1201, and gfx1250. Reconfigure a regular IREE build and rebuild iree-test-deps for each target, then run HIP tests with the simulator from a pinned TheRock nightly. Run each test in a fresh Mirage session with a watchdog and per-test JUnit output. Propagate configure/build failures so stale artifacts cannot produce a successful run. Make the default native-test timeout configurable and label tests that are too expensive to simulate. Keep those tests enabled for hardware runs. Exclude TopK v2 from ROCm tests because its missing thread distribution causes overlapping output writes on all five targets. Use the target's preferred subgroup size when an executable does not specify one, so gfx1250 defaults to wave32. Add regression coverage for the default and explicit subgroup sizes. Assisted-by: codex (gpt-6-astra)
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.