| commit | 31e1a305a7beb917c12785d9cdf1a37b332571d8 | [log] [tgz] |
|---|---|---|
| author | Quinn Dawkins <quinn.dawkins@gmail.com> | Thu May 23 12:41:57 2024 -0400 |
| committer | GitHub <noreply@github.com> | Thu May 23 12:41:57 2024 -0400 |
| tree | aa95f9759ded144d3f794bda257bc4488149ff32 | |
| parent | 3a2617f9a8ed59aa3a3e7152b5a4e994a5923226 [diff] |
[Codegen][GPU] Add dictionary based lowering config attribute (#17463) This adds a lowering config attribute that is backed by a simple dictionary attribute. This makes the attribute easier to interpret by giving tiling levels labels, however at the cost of structure. This is also the most flexible form of lowering attribute, being free to extend as needed. We may opt for more structured configs in the future.
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.
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.