| commit | ffd5ad4e401f2ca45611da31b47c39bbbd534ff7 | [log] [tgz] |
|---|---|---|
| author | Kunwar Grover <51270680+Groverkss@users.noreply.github.com> | Thu Sep 28 01:25:52 2023 +0530 |
| committer | GitHub <noreply@github.com> | Thu Sep 28 01:25:52 2023 +0530 |
| tree | e947119d4fbcc0d8d40a56f951b6031b933b1a5c | |
| parent | ef280a4d65e68b554ee81e8bbafa176188032c5c [diff] |
[Flow] Fix FuseDequantMatmul pass for multiple uses of dequant (#15045) The fusion currently assumes dequant has only one use, which is not the case if the result of dequant is used by two different matmuls. This patch fixes this by clone the dequant if it has multiple uses.
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.