Integrate LLVM to llvm/llvm-project@480b2c9eb47f (#24793) Bumpy `llvm-project` from `8c5193b41f2f` to `480b2c9eb47f`, no carried-over or new reverts. One adaptation was required: llvm/llvm-project@9e43e04108dd stops arith-expand from expanding `arith.maximumf/minimumf/maxnumf/minnumf` unless the new `include-min-max-f` option is set. For VMVX, `ArithToVM` has conversion patterns for `arith.maximumf/minimumf` but none for `arith.maxnumf/minnumf`, so the `arith.maxnumf` emitted by the `linalg.softmax` decomposition no longer legalized and `VMVX -> VM` conversion failed in `tests/e2e/linalg/softmax.mlir`. Setting `includeMinMaxF` on the VMVX arith-expand invocation restores the previous behavior. `include-min-max-i` is left off because the VM dialect has native integer min/max ops for both i32 and i64. LLVMCPU has direct lowerings to the `llvm.intr.maximum/maxnum`. Assisted-by: Claude Code and reviewed by me. --------- Signed-off-by: Ege Beysel <beysel@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.