commit | b82ab2a79047d045e1f0c6e47a641654dd8e40f6 | [log] [tgz] |
---|---|---|
author | Stella Laurenzo <laurenzo@google.com> | Tue May 18 13:32:58 2021 -0700 |
committer | Copybara-Service <iree-copybara-bot@google.com> | Tue May 18 13:33:58 2021 -0700 |
tree | 86d03f17c7061251ff32da64396b7cedd60c2e79 | |
parent | 6d11106473affd9558821ea242a1a2127334ad5c [diff] |
Separate CHLO transforms for expanding compositions and lowering broadcasts. * The former is typically invariant regardless of backend. * The latter may need to be done differently depending on capabilities of the lowering target. PiperOrigin-RevId: 374492924
IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler that lowers Machine Learning (ML) models to a unified IR optimized for real-time inference on mobile/edge devices against heterogeneous hardware accelerators. IREE also provides flexible deployment solutions for its compiled ML models.
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!
IREE is licensed under the terms of the Apache license. See LICENSE for more information.