commit | e633d07d88e73e833c3d3ec915d67967865ea5bd | [log] [tgz] |
---|---|---|
author | Max191 <44243577+Max191@users.noreply.github.com> | Wed May 01 13:02:56 2024 -0700 |
committer | GitHub <noreply@github.com> | Wed May 01 16:02:56 2024 -0400 |
tree | 8ade3cf97b75a826e1ecd4b7fa90936cbee8d3e5 | |
parent | 7b144fc042e9d16d7f21f3502363605072da564a [diff] |
[GPU] Add option for no gpu.block_dim in GPUDistributeScfFor (#17214) This PR adds an option to generate `arith.constant` ops with workgroup sizes in place of `gpu.block_dim` ops in `GPUDistributeScfFor`. The `gpu.block_dim` ops are not currently handled properly on ROCM backends, so this option is needed to support `GPUDistributeScfFor` on the LLVMGPU path.
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.