| commit | c6c713c70b3bcc356fe45ab92495b6f7025df28f | [log] [tgz] |
|---|---|---|
| author | Jakub Kuderski <kubak@google.com> | Fri Apr 21 18:36:38 2023 -0400 |
| committer | GitHub <noreply@github.com> | Fri Apr 21 18:36:38 2023 -0400 |
| tree | d6e8897454c79f0ed02a5260f6824a084e7488f6 | |
| parent | 786e1a0401b3e35b11e4b7f6ffb08025fde11236 [diff] |
[StableHLO] Add initial input conversion pipeline and e2e tests (#13223) This pipeline is still in progress and is known to be missing a few passes. Because of this, I named it `--input-type=stablehlo_experimental`. This pipeline can already pass most of the xla op tests ported to stablehlo that I tried. Port the first batch of e2e tests and run them on local/host CPU, vmvx, and vulkan-spirv. I did not include any CUDA test targets yet because I do not have any CUDA device I can test on locally. Issue: https://github.com/openxla/iree/issues/12678
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.