Merge google -> main #6814 * be7ef6e Merge pull request Merge main -> google #6812 from MaheshRavishankar:main-to-google * 92d36bc Integrate LLVM at llvm/llvm-project@9ae9262 * 03f4131 Update LLVM Bazel configuration for simplified setup * 418fe6f Integrate LLVM at llvm/llvm-project@ad0f6e1 * c963ec1 Merge pull request Merge main -> google #6804 from GMNGeoffrey:main-to-google * 7b440b4 Integrate LLVM at llvm/llvm-project@21d91a8
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.