| commit | d7884011f71fbd1d2f4a7ecfeb4fe372bde728e8 | [log] [tgz] |
|---|---|---|
| author | Scott Todd <scott.todd0@gmail.com> | Mon Jul 01 10:09:21 2024 -0700 |
| committer | GitHub <noreply@github.com> | Mon Jul 01 10:09:21 2024 -0700 |
| tree | 99aba812265153ac4c3268994d9a60411e5baf95 | |
| parent | 4ad00ef95cadc100b5f0a704289b508aec1774a5 [diff] |
Run sharktank llama tests on CI, qualify test names. (#17772) Progress on https://github.com/nod-ai/sharktank/issues/22. See https://github.com/nod-ai/SHARK-TestSuite/pull/272 for the specifics of what the new test is exercising. The "models" tests now include `pytorch/models/` and `sharktank/`, so all test names are qualified relative to `iree_tests/` in the test suite repo. (Totally inflating my commit stats here, sorry :P) ci-exactly: build_packages,regression_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.