Merge google -> main (#6760) * 42c74b0 Synchronize submodules with LLVM at llvm/llvm-project@9c8f888 * 46aa373 Merge pull request Merge main -> google #6757 from ThomasRaoux:main-to-google * a6b8c6f Integrate LLVM at llvm/llvm-project@9c8f888 * a06a1fa Integrate LLVM at llvm/llvm-project@970129a * 0d79218 Integrate LLVM at llvm/llvm-project@422fc56 * d22c9e8 Integrate LLVM at llvm/llvm-project@a72cd63 * 6a8d42a Integrate LLVM at llvm/llvm-project@67d4d7c * 4bf298f Integrate LLVM at llvm/llvm-project@f899445 * cf1bd8f Integrate LLVM at llvm/llvm-project@4c5909b
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.