commit | 0077358221e3fd2a52d114115ac9b9d17089fc16 | [log] [tgz] |
---|---|---|
author | Stella Laurenzo <stellaraccident@gmail.com> | Thu Oct 31 14:06:56 2024 -0700 |
committer | GitHub <noreply@github.com> | Thu Oct 31 14:06:56 2024 -0700 |
tree | 341e03a2fb9b678aae96eca4ad060218c74f34e5 | |
parent | 8d3faf8e0f739838a2c06adbeffae258a43d56a7 [diff] |
[python] Add an iree.build package with API/tooling for program building. (#18630) This is the first step of providing a unified user-oriented build tool for IREE export and compilation. This initial version supports the CLI environment, network/fetch actions, and ONNX import+upgrade. A follow-on step will build out the compiler invocation rules, specifically focusing on getting option, device, and parameter handling and manifest/metadata propagated properly. The intent is that downstream users of the IREE/Turbine tools can have one stop modules to efficiently export and compile arbitrarily complicated pipelines without reinventing the wheel or needing to do the advanced compiler juggling that comes with some of the more complicated (and performant) workflows. As a by-product this will standardize a directory layout and manifest/metadata to accompany it for pipeline construction. The intent is that this will simplify serving tooling, which currently has to get a number of out of band parameters and files put together in the right way and matching how they were compiled. --------- Signed-off-by: Stella Laurenzo <stellaraccident@gmail.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.
IREE is still in its early phase. We have settled down on the overarching infrastructure and are actively improving various software components as well as project logistics. It is still quite far from ready for everyday use and is made available without any support at the moment. With that said, we welcome any kind of feedback on any communication channels
Package | Release status |
---|---|
GitHub release (stable) | |
GitHub release (nightly) | |
Python iree-compiler | |
Python iree-runtime |
Host platform | Build status |
---|---|
Linux | |
macOS | |
Windows |
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
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.