Revert "[LinalgExt] Generalize ArgCompareOp in GPUGeneralizeNamedOpsPass" (#23074) Reverts iree-org/iree#23015 **Reason** During my process of plumbing arg_compare op along the VectorDistribute pipeline, I found that working directly with ArgCompareOp (without converting it to linalg.generic) will be a better solution. The reason is that VectorDistribute performs two-level tiling: * Outer level: Partial reduction (PartialReductionOuterReduction) * Inner level: Inter-thread reduction (subgroup-wise) Add PartialReductionOuterReduction support for ArgCompareOp directly, in addition to the existing PartialReductionOuterParallel (split-reduction) support. Extending the existing linalg.generic reduction support to handle arg_reduce semantics would require drastic changes to the infrastructure (upstream tilinginterface). Will add the core implementation back when after tiling we find it is useful for the bufferization + vectorization + vector distribution phases.
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 |
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| 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.