commit | 9b639dcaf7d53b02e322bd5fcf60407e87be559d | [log] [tgz] |
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author | Scott Todd <scotttodd@google.com> | Wed Jul 14 14:50:08 2021 -0700 |
committer | GitHub <noreply@github.com> | Wed Jul 14 14:50:08 2021 -0700 |
tree | d2a34afac49017df99904f050a823425ff96d4c7 | |
parent | b42cee6d00b0db8b19dbc8528581260d624a14fe [diff] | |
parent | 58738011d7db7e97537b362765de8b6641f9aae2 [diff] |
Merge google -> main (#6446) * 16211298c Merge main -> google * d1854d1c5 Integrate LLVM at llvm/llvm-project@93dc73b1e0f3 * 4c6bfe76a Synchronize submodules with LLVM at llvm/llvm-project@d9b9fdd91bb4 * 034fee69f Integrate LLVM at llvm/llvm-project@12d04ce9569e * 5c62cfd2d Integrate LLVM at llvm/llvm-project@d9b9fdd91bb4 * 1c1db0302 Integrate LLVM at llvm/llvm-project@24129fbc9aa0 * 4db7d62ff Integrate LLVM at llvm/llvm-project@489742991f7d * c53fc061b Integrate LLVM at llvm/llvm-project@32627f4ab4b7
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!
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.