| commit | fec59d829dd63ecd4637f5a5dfd67fcee5827ed1 | [log] [tgz] |
|---|---|---|
| author | Jakub Kuderski <jakub@nod-labs.com> | Sat Nov 15 16:56:23 2025 -0500 |
| committer | GitHub <noreply@github.com> | Sat Nov 15 16:56:23 2025 -0500 |
| tree | d21ba69e3680a88312fc5f15195476d9cc8304c3 | |
| parent | 49539467c609b15b73852bee9580475de19b4f49 [diff] |
Drop unnecessary namespaces from cast functions in dialect vm vmvx etc. NFC. 10/10 (#22662) This removes llvm:: and mlir:: namespace prefixes from casting functions (isa, cast, dyn_cast, cast_or_null, dyn_cast_or_null, isa_and_nonnull, dyn_cast_if_present, cast_if_present, isa_and_present) where they are unnecessary due to 'using' declarations in mlir/Support/LLVM.h. These functions are brought into scope by headers like mlir/Support/LLVM.h which is included (directly or transitively) by most MLIR-based code.
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.