commit | f300aee8c9d0da48179737b77abe690ab58e12f2 | [log] [tgz] |
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author | rsuderman <rob.suderman@gmail.com> | Mon Jul 26 11:44:29 2021 -0700 |
committer | GitHub <noreply@github.com> | Mon Jul 26 11:44:29 2021 -0700 |
tree | 17cd8e937150b61c7a303126c4d13cc719d0c46e | |
parent | 9f42d0448af7f80700cd613d69f8f4cc67583e1b [diff] | |
parent | ee6dea87d7d3d7fe60b410a3279f06b6fffd0a91 [diff] |
Merge google -> main #6539 ee6dea8 Merge pull request Merge main -> google #6538 from rsuderman:main-to-google 26a73e2 Synchronize submodules with LLVM at llvm/llvm-project@de7a4e5 505f771 Integrate LLVM at llvm/llvm-project@de7a4e5 7ff638a Merge pull request Merge main -> google #6526 from KoolJBlack:main-to-google 4839792 Integrate LLVM at llvm/llvm-project@da06d17
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.