| commit | 85e0da62ba6f1dce6dcb061c43c0c8f96f4c700e | [log] [tgz] |
|---|---|---|
| author | Ben Vanik <ben.vanik@gmail.com> | Wed Jul 10 21:29:49 2024 -0700 |
| committer | GitHub <noreply@github.com> | Thu Jul 11 04:29:49 2024 +0000 |
| tree | 03661861c5b8afd4312eddd621bcff64d921491e | |
| parent | c1611cd045da2d4fed190a0858d075305bdd560b [diff] |
Adding some CTS variants for indirect command buffers. (#17846) This is a simple start that tests a few commands to test the infrastructure for record/replay of indirect command buffers and the validation mechanism. We don't have a good way in the CTS yet to conditionally run tests based on whether validation is compiled into the build but I'll be looking into that for testing failure cases in future PRs (for now I've just tested manually to verify errors are propagated).
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.