[GlobalOptimization] Make im2col a generic convolution rewrite (#25011) Replaces the three layout-specific im2col patterns (NHWC, NCHW, depthwise NHWC) with one generic rewrite that handles any convolution, named or generic, including grouped, dilated, 1-D/3-D, dynamic and integer ones. The pattern gathers the convolved input with an all-parallel `linalg.generic`, rewires the op to read the gather, keeps the original payload, and collapses the result into a matmul using `DispatchCreation::getCollapsibleLoops`. Add a basic heuristic via a control function that skips convolutions without an output channel dimension (depthwise, pooling), where the gather is never amortized. The pass is renamed to `iree-global-opt-convert-conv-to-im2col`; the pipeline flag is unchanged. 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Signed-off-by: Thomas Ziereis <ziereis@roofline.ai> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.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 |
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.