commit | 94a2168c63ac5e075be132fe1b97dd8427c03733 | [log] [tgz] |
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author | Han-Chung Wang <hanchung@google.com> | Thu Sep 23 02:30:30 2021 +0800 |
committer | GitHub <noreply@github.com> | Wed Sep 22 11:30:30 2021 -0700 |
tree | cf0aa337adbab23c26d5de25f42add012f2c0309 | |
parent | 779746faf18cb699c8ce1a5a9c3bc6b090ea97b6 [diff] |
Introduce reverse op to LinalgExt dialect. (#7124) Defines linalg_ext.reverse op and implements basic interface methods of the op. The reverse op in Linalg has Linalg unfriendly affine exprs, which blocks tile and distribute transforms. This is a short/mid term solution for tiling and distributing reverse ops. It's a step toward https://github.com/google/iree/issues/5045
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.