| commit | 7884dc8a2009d86b809161dffbb6ac8c2b68bdf0 | [log] [tgz] |
|---|---|---|
| author | Max191 <44243577+Max191@users.noreply.github.com> | Fri Mar 08 10:38:33 2024 -0500 |
| committer | GitHub <noreply@github.com> | Fri Mar 08 10:38:33 2024 -0500 |
| tree | 950c69a6213dfffad9751afc1eec15ee61e6da13 | |
| parent | f513fe255fc9c6981e28e1107e7646d17673f6dd [diff] |
Revert adding unit dim folding to GlobalOps (#16708) This reverts c07d1102dc9f25315f2c9b517325c97bc8bff10b and the dependent commit a86b8bfa9dc6b077b7882fcf88055ef197d1cc8a because it caused some regressions in llama2.
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.