| commit | 51c30abe242e6b411601072da1804b8ee01a5bcc | [log] [tgz] |
|---|---|---|
| author | Stanley Winata <68087699+raikonenfnu@users.noreply.github.com> | Tue Jan 16 21:40:17 2024 -0800 |
| committer | GitHub <noreply@github.com> | Tue Jan 16 21:40:17 2024 -0800 |
| tree | 8ffb4fda153fe5726cccec896e9a131c39d14f1b | |
| parent | 6847e3718c3f594fad400d653fd414347b97cf22 [diff] |
e2e microkernel pipeline + argmax ukernel on ROCM backend. (#15943) This commit presents is an end-to-end ukernel pipeline on ROCm with argmax as the first ukernel. It is end-to-end in a because we automatically generate and link the bitcode, which means end users do not need to manually link bitcodes or hand-modify the kernel to have ukernel.generics. This work is based on Ukernel lowerings on CPU written by Benoit Jacob as well as a ukernel on CUDA sample by Mahesh Ravishankar.
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.