| commit | 3b2c85b537089cd6585ff36cc6476ef9759fdd07 | [log] [tgz] |
|---|---|---|
| author | Quinn Dawkins <quinn.dawkins@gmail.com> | Wed Jul 10 19:58:54 2024 -0400 |
| committer | GitHub <noreply@github.com> | Wed Jul 10 23:58:54 2024 +0000 |
| tree | ce2152010b80d6499c35f1926a70ffc3819bd9af | |
| parent | 645c966209e12d5b700987b6f52be687d3c29e2c [diff] |
Drop unmaintained transform dialect tests (#17858) The tests in `tests/transform_dialect` have been unmaintained (and mostly disabled) for a while. Most of the tests were misplaced anyway, mixing lit tests in with e2e tests, and much of the relevant functionality is now tested upstream or has evolved into different lit tests in Codegen. This drops the entire `cuda` directory, and drops all `cpu` tests except one which is testing a transform dialect library call, which is still a relevant e2e test.
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.
Community meeting recordings: IREE YouTube channel
IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.