commit | b848e104c14382a91a3d154520cddf4db32cf13f | [log] [tgz] |
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author | not-jenni <59985653+not-jenni@users.noreply.github.com> | Thu Jan 06 15:57:22 2022 -0800 |
committer | GitHub <noreply@github.com> | Thu Jan 06 15:57:22 2022 -0800 |
tree | 83ca2b0006ebd132f3e63c69428f3a416f492c4b | |
parent | 78c96cd7bdfebdf88cc3b992e19a3e5fc030c4ce [diff] | |
parent | 580800efa7d32f0042d37548779469e28a5245ca [diff] |
Merge google -> main (#8027) * 580800efa Synchronize submodules with LLVM at llvm/llvm-project@c5965a411c63 * c554bc99e Merge pull request #8025 from not-jenni:main-to-google * 631e8e3cc Synchronize submodules with LLVM at llvm/llvm-project@c5965a411c63 * 28cd81b73 Integrate LLVM at llvm/llvm-project@c5965a411c63 * 01fe2ffdf Integrate LLVM at llvm/llvm-project@564bcf9d0243 * 723fe7351 Synchronize submodules with LLVM at llvm/llvm-project@b5149f4e66a4 * 82f2f2107 Merge pull request #8016 from not-jenni:main-to-google
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.