[Codegen][CPU] Fold reshape-containing encoding relayouts to map_store. (#24533) GPU's configuration pipeline folds the `pack`/`expand_shape`/`transpose` relayout chain from encoding materialization into a single `iree_linalg_ext.map_store` before tiling; CPU did not. For a non-row- major encoding swizzle the intervening `tensor.expand_shape` (not a `TilingInterface` op) blocks producer fusion and strands an untiled, whole-tensor `pack` intermediate. Mirror GPU on CPU: - Add `RelayoutCombinationScope::DispatchReshape`: like `Dispatch` but restricted to chains whose backward slice contains an expand/collapse_shape. Pure pack/unpack/transpose chains tile fine and are left alone. - Run `CombineResultLayoutTransformation` with that scope in the CPU configuration pipeline, after MaterializeDeviceEncoding. - Skip `map_load`/`map_store` as `getRootOperation` candidates, so a dispatch with a real compute op plus a `map_store` roots on the compute op. Inert for existing (row-major) CPU encodings. Progress towards #24515. Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.com> Co-authored-by: Claude Opus 4.7 <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 | |
| 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.