| commit | ea72d000f9ed3e11fb3192177aaf2ecd11bee4e8 | [log] [tgz] |
|---|---|---|
| author | Max191 <44243577+Max191@users.noreply.github.com> | Thu Jan 29 12:00:23 2026 -0500 |
| committer | GitHub <noreply@github.com> | Thu Jan 29 12:00:23 2026 -0500 |
| tree | 65875f3573e83254bc9919e8178e6abada2ffcf0 | |
| parent | 34d2446a50a94668ef878f49d76844980e6385cc [diff] |
[GPU] Don't swap expand with slice in the same block (#23267) Prevents swapping tensor.extract_slice ops with tensor.expand_shape ops when they are in the same block during GPUFuseAndHoistParallelLoops. This pattern is intended to be a tiling fusion pattern for tensor.expand_shape operations, which always begin with the ops in different blocks. When the ops are in the same block, this does not open up more fusions, and instead moves the extract_slice further compute ops that produce loads. This can block later optimizations that fold the slice into loading operations like vector.transfer_read. This restriction is done through a control function to maintain the ability to swap same-block slice + expand ops, in case it is needed for other use cases. ci-extra: test_torch --------- 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.