| commit | 9b22f456ae5409137de4924f51c2611448ecd05d | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scott.todd0@gmail.com> | Wed Apr 24 09:56:38 2024 -0700 |
| committer | GitHub <noreply@github.com> | Wed Apr 24 09:56:38 2024 -0700 |
| tree | 7e2de05306410bba912d9e66cedb10932925896d | |
| parent | 5fa2480500ecf0f1365ac097b1395b5becbceaf2 [diff] |
Switch ci.yml to use standard sized runners, disable build_test_all_windows. (#17145) __This also disables the `build_test_all_windows` job entirely__ --- * Small runners are free: [Standard GitHub-hosted runners for Public repositories](https://docs.github.com/en/actions/using-github-hosted-runners/about-github-hosted-runners/about-github-hosted-runners#standard-github-hosted-runners-for-public-repositories) * Large runners are expensive: [Per-minute rates for larger runners](https://docs.github.com/en/billing/managing-billing-for-github-actions/about-billing-for-github-actions#per-minute-rates-for-larger-runners) ($0.50 per minute for Windows 64 core, 8 minutes per run just to check out the repo... you do the math :P) Where we care about job latency we should use self hosted runners -- ideally with local caches for git objects, test resources, and other build cache files. ci-extra: build_test_all_windows
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.