Merge google -> main (#7337) * 04433025a Synchronize submodules with LLVM at llvm/llvm-project@6fbc812883ab * 843796bb7 Merge pull request #7336 from GMNGeoffrey:model-artifacts * c6a6fe2e9 Integrate LLVM at llvm/llvm-project@6fbc812883ab * e6e902951 Merge pull request #7331 from GMNGeoffrey:update_cmake * 29be585e8 [mhlo:linalg] Rewrite init_tensor generation in terms of shape reification * e4dcf776f Synchronize submodules with LLVM at llvm/llvm-project@fc2ba5e53d47 * df503b4b8 Integrate LLVM at llvm/llvm-project@fc2ba5e53d47 * d1cc5a720 Remove labels from synchronization benchmark targets.
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.