[Codegen] Use safer hoisting in OptimizeTensorInsertExtractSlices (#23280) Use the `moveLoopInvariantCodeFromGuaranteedLoops` transform instead of the `moveLoopInvariantCode` transform in the OptimizeTensorInsertExtractSlices pass. This transform is safer, because it validates that loops will be executed at least once before hoisting loop invariant code. Hoisting from loops that may not execute is not an optimization, so this is a better version of the transformation. The new safer transform also hoists from linalg.generic ops, so the `moveLoopInvariantCodeFromGenericOps` is removed, since it is no longer used. This PR also removes the `_batch_matmul_narrow_n_2_dispatch_4_unpack_i32` test, which was doing nothing but checking that a tensor.empty op gets hoisted from an scf.for loop (which cannot be guaranteed to execute). Hoisting empty tensors is not the job of this pass, and the test is verbose, so the test is simply removed. Signed-off-by: Max Dawkins <max.dawkins@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 | |
| 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.