| commit | b9fdcce3ee0aaacfb385bd9e510a7ec810388aa9 | [log] [tgz] |
|---|---|---|
| author | Quinn Dawkins <quinn.dawkins@gmail.com> | Thu Feb 15 19:23:21 2024 -0500 |
| committer | GitHub <noreply@github.com> | Fri Feb 16 00:23:21 2024 +0000 |
| tree | 4ad18464702dd06bd6f3e9b419614fa4becfdb10 | |
| parent | 045bca1e213ea9ab4210277776430b497b64be10 [diff] |
[Codegen] Re-Enable transform dialect configuration strategy round 2 (#16427) This time it just drops all transform dialect usage outside of transform library file path + entry point name. This reduces code complexity in `MaterializeUserConfigs`. Also cleans up some of the transform dialect tests to stop lit testing at the same time. We might want to consider dropping some of them as they aren't being maintained (the only thing they verify at the moment is that the transform scripts are valid for CUDA).
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!
See our website for more information.
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.