| commit | 4786ebcd0a536205e26e3a34cbe8ae1adaf021cb | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scotttodd@google.com> | Wed Jan 10 08:54:25 2024 -0800 |
| committer | GitHub <noreply@github.com> | Wed Jan 10 08:54:25 2024 -0800 |
| tree | d1681e39d12eb1053bd7535b806c39c85dd81498 | |
| parent | dc81beb1199d95d800604491c80ade8fbdc2534a [diff] |
Remove SwiftShader Docker images and software Vulkan testing. (#15837) Fixes https://github.com/openxla/iree/issues/15299. This removes SwiftShader-flavored Dockerfiles from this repository and switches all uses across the project to use the non-SwiftShader equivalent images. SwiftShader is a CPU implementation of the Vulkan API which we have been using for min-spec coverage and testing on devices that lack a physical GPU. We have CI workflows on most platforms we support that use real hardware and those builds are reliable enough to drop the CPU/SwiftShader coverage. Vulkan tests are still included on presubmit using NVIDIA Tesla T4 GPUs in the `test_gpu` and `test_tf_integrations_gpu` jobs. Postsubmit jobs using NVIDIA A100 GPUs and Android phones (pixel-6-pro and moto-edge-x30) also run Vulkan tests. Removing these extra Dockerfiles will also help us with the planned refactoring tracked in https://github.com/openxla/iree/issues/15332. --- Follow-up work _not_ completed as part of this PR: - [ ] Add min-spec coverage via profiles
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.