| commit | 0795d65e102662ae5da16b605c2697944f6419f9 | [log] [tgz] |
|---|---|---|
| author | Nicolas Vasilache <nicolasvasilache@users.noreply.github.com> | Wed Jun 29 07:25:27 2022 +0200 |
| committer | GitHub <noreply@github.com> | Tue Jun 28 22:25:27 2022 -0700 |
| tree | 8ce8cfa8d7fdc593dd253b14ad0c7e5147e59668 | |
| parent | 2605c6da33658b5e12d964d69a9281c666c90b5c [diff] |
Bump LLVM to fc7f7260a609b2092260b6a5e867a20cf364808c (#9646) * Bump LLVM to fc7f7260a609b2092260b6a5e867a20cf364808c LLVM commit: fc7f7260a609b2092260b6a5e867a20cf364808c MHLO commit: d70cd274ea4cf31fdc7d29d4cc70e1569acb74d8 * Bump TF repo to 4ee381cc670f77c703f59d03da473ac6dfdae58e * Fix mhlo.dinamic-slice tests Co-authored-by: Diego Caballero <diegocaballero@google.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!
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.