| commit | 4f1f0554f4a8d5b9d56c1d30b8630e88c372acde | [log] [tgz] |
|---|---|---|
| author | Benoit Jacob <jacob.benoit.1@gmail.com> | Mon Mar 04 15:20:42 2024 -0500 |
| committer | GitHub <noreply@github.com> | Mon Mar 04 15:20:42 2024 -0500 |
| tree | ead2726412a865f8f5deb3cb8de02dd6f227366f | |
| parent | b994b728c182e28b7cd542a0e0f60e5c1bfb35be [diff] |
mmt4d ukernel: use fewer magic macros to generate tile-functions M0-variants (#16645) The motivation for this is that some of the M0==1 variants need more special-casing anyway to be truly efficient, so we are headed towards a place where we don't necessarily use the same generic implementations for all M0 values, so just decoupling them is a first step.
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.