| commit | 21c80792ed2feebb0162a1fd093cea20dd210306 | [log] [tgz] |
|---|---|---|
| author | Han-Chung Wang <hanhan0912@gmail.com> | Wed Nov 29 18:08:48 2023 -0800 |
| committer | GitHub <noreply@github.com> | Wed Nov 29 18:08:48 2023 -0800 |
| tree | 62d60876f99946a9135aae50118f5673c0507f83 | |
| parent | 3025ce705e39d1a2bc32f509c8a58e63d3b6d3f2 [diff] |
[VMVX] Enable ukernels for batch_matmul using static shape path. (#15733) Different from matmul, it does not use dynamic shapes. The reason is that it will need codegen.query_tile_sizes ukernel to support 3d cases. The revision enables data-tiling batch_matmul on vmvx path using static shapes. Fixes https://github.com/openxla/iree/issues/15314
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.