[GPU] Allow swizzle promotion for transpose linalg.generic producers (preshuffling prs 1/3) (#24086) This PR is the first in a series of PRs meant to enable preshuffling for scaled gemms. Currently, operands to be swizzled are skipped when producing SwizzleHintOps if their producer is a linalg::LinalgOp. This means that transpose linalg.generic ops feeding into a matmul with SwizzleOperand promotion would never get XOR swizzle hints applied to their output buffer. This change adds an exception: transpose linalg.generic producers (identified via linalg::isaTransposeOpInterface) no longer exit early. For a GEMM dispatch where the transpose is folded into memory access, this does not produce any extra allocations, bufferization correctly recognizes that the `tensor.empty` associated to the TransposeOp and the SwizzleHintOp are redundant and removes the copy. Non-transpose linalg.generic producers continue to get the early return with lowering_config annotation as before. Made-with: Cursor --------- Signed-off-by: Muzammiluddin Syed <muzasyed@amd.com>
IREE (Intermediate Representation Execution Eenvironment, 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.