| commit | fee7f6ae5ac7ffb05831256ed2d40da96bcd3cb5 | [log] [tgz] |
|---|---|---|
| author | Quinn Dawkins <quinn@nod-labs.com> | Mon Oct 02 10:19:42 2023 -0400 |
| committer | GitHub <noreply@github.com> | Mon Oct 02 10:19:42 2023 -0400 |
| tree | 82992c3c4a44a53b50bbcedc55cfa2dc931a572e | |
| parent | ada5473f919a1de3877587ef007e70df7747d08d [diff] |
[LLVMExternalProjects] Drop the IREE LinalgTransformDialect (#15067) The LinalgTransformDialect has become a maintenance burden without any users. This drops the dialect and cleans up some surrounding linalg ext code that has since been upstreamed. - Transform ops equivalent to lower_to_llvm now exist upstream - The linalg ext variant of the TransformDialectInterpreter pass has since been moved to IREE core take_first, emit_remark, and the matcher infra + ops are still load bearing and transitioning to upstream is left as TODO.
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.