[Codegen] NFC: Lift InnerTiledOp unroll pattern to Codegen. (#24357) Follow-up to the previous NFC, moving the third (and last) `iree_codegen.inner_tiled` rewrite pattern out of `Codegen/Dialect/GPU/Transforms/`: - `UnrollInnerTiledPattern` (unrolls along iter dimensions until each intrinsic invocation has a unit iter shape) The pattern itself is dialect-neutral; only the convenience no-args populate function applied a default config (matmul-like LHS-reuse traversal order, unit native shape) that happens to be a good fit for any architecture, including CPU. Renames the populate functions: - `IREE::GPU::populateIREEGPUVectorUnrollPatterns` (with-options form) -> `IREE::Codegen::populateUnrollInnerTiledPatterns` - `IREE::GPU::populateIREEGPUVectorUnrollPatterns` (no-args form) -> `IREE::Codegen::populateUnrollInnerTiledPatterns` Renames the GPU-specific helper `gpuMatmulLikeUnrollOrder` to `matmulLikeUnrollOrder` (its content is dialect-neutral). The `kUnrollAccDistribute` / `kUnrollAccReassemble` HoistableConversionOp tag constants move with the pattern. Updates the in-tree callers in `IREEGPUExtensions.cpp` and `UnrollToIntrinsics.cpp`, and adjusts BUILD.bazel/CMakeLists.txt deps. Strict NFC; no functional or behavioral change. Progress towards #24323
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.