commit | d0383353dc3749bb484cd8376f872f89e75d50fd | [log] [tgz] |
---|---|---|
author | Guray Ozen <guray.ozen@gmail.com> | Mon Nov 21 17:49:58 2022 +0100 |
committer | GitHub <noreply@github.com> | Mon Nov 21 17:49:58 2022 +0100 |
tree | bbf531e79f9db3a03a2ad963bdfd6796ee8a1ded | |
parent | 078d1dec509c3bb4a38b0cc02ed7b3ac69aa459d [diff] | |
parent | 38c1decd25779b630278cde31155037be50a95fd [diff] |
Decouple `GPUThreadMappingAttr` from GPU transform dialect (#11171) Now GPU transform dialect works with any attribute, but the attributes must be defined outside of the code generator. In this way, iree can define own mappers. This PR integrates this change into iree. Cherry pick the following llvm. The PR and llvm should go together. @beaffb041c689deb30d9b06fb3a68a1a4bae48a4
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.