[GlobalOpt][Flow][Quant] Fix segfault on unlowered `quant.uniform` types (#24824) `HoistIntoGlobalsPass`'s `HoistableTensorTypeInterface` unconditionally called `getIntOrFloatBitWidth()` on a tensor's element type to decide whether it is hoistable, assuming it is always a plain int/float. A `!quant.uniform<...>` element type is neither, so `getIntOrFloatBitWidth()` crashes instead of returning a sane answer. `isHoistableType`/`isHoistableLeafType`, with this PR, check that the element type is actually an int/float before computing its bit width via a new helper `hasComputableBitWidth`, and conservatively treat anything else as non-hoistable. Additonally, `quant.uniform` types leak into the pipeline because `quant` is a transitive type dependency of TOSA, not because we have any lowering support for `quant.qcast`/`quant.dcast`/`quant.scast` AFAIK. TOSA's own conversion to `linalg`/`arith` is expected to fully resolve these before `Flow`. `VerifyInputLegalityPass` already enforces that for those some dialects, `quant` was simply missing from the list, so IR where these ops survive past `GlobalOptimization` would segfault later. Fixes #24814 --------- Signed-off-by: Federico Bruzzone <federico.bruzzone.i@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 |
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.