| commit | 79a251abd890775adfd50a9072f251a9d4494648 | [log] [tgz] |
|---|---|---|
| author | Stella Laurenzo <laurenzo@google.com> | Thu Feb 23 13:21:50 2023 -0800 |
| committer | GitHub <noreply@github.com> | Thu Feb 23 21:21:50 2023 +0000 |
| tree | 9c8e381ea8dbfc245c5ec47111d8b5af2d90aab8 | |
| parent | 689e0fa332fda93404462636fa60fdaf96486aa8 [diff] |
Remove RHEL cuda packages from release docker image. (#12345) It turns out to be really hard to get the CUDA RHEL packages complete enough to actually build IREE/LLVM. Instead, we just remove them entirely and rely on the fetcher to get the proper subset from NVIDIA. In the future, we can extract the script that does this from the CMake build and run it at image prep time but this will fix the blocking issue for now.
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.