| commit | 98910eb036c3ecca8cd5a3f4b283bd8c055a5c4e | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scotttodd@google.com> | Fri Nov 11 16:10:10 2022 -0800 |
| committer | GitHub <noreply@github.com> | Sat Nov 12 00:10:10 2022 +0000 |
| tree | d3cbd00f014cc2957e6657688d5ff896d32461b1 | |
| parent | 4ffe00db6c3a13fe02b16beb5c7fdfa7d498e14d [diff] |
Add build_test_all_windows CI job. (#11050) Progress on https://github.com/iree-org/iree/issues/11009 Sample successful run: https://github.com/iree-org/iree/actions/runs/3448018286/jobs/5754640528 At first this will only run on postsubmit, then we can move this to presubmit if it is stable and we have enough resources. We should also keep an eye on how long this takes to run (checkout seems to take substantially longer than on Linux), and also consider using Docker to manage the dependencies and environment. Notes: * This does not test Vulkan or CUDA - we'd want a runner with a physical GPU (or SwiftShader) for that * This downloads CUDA deps on demand via CMake (so there's some additional network activity)
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.