| commit | b4321ea20b0e45c4179f800a1b65df44bef9ee48 | [log] [tgz] |
|---|---|---|
| author | saienduri <77521230+saienduri@users.noreply.github.com> | Thu Jun 13 09:39:37 2024 -0700 |
| committer | GitHub <noreply@github.com> | Thu Jun 13 09:39:37 2024 -0700 |
| tree | ac420edaefed9addc6b8e8f2ceb1266df0ed69fe | |
| parent | 97fbe5f36d7a82a85838b68622d64ab43790d749 [diff] |
Update CI to include benchmarking changes in Test Suite. (#17655) This commit updates the SHARK-Test ref, config files, and yaml files to have the most up to date flags and benchmarking support. I will also concentrate on a python implementation for pulling in configs in Test-Suite, so we don't have to rely on all these config files. Checked the golden values over 15 times in the CI so should be good. This commit also adds support to the CI, so that it generates a job summary of the benchmark mean times for e2e and all the sub models. This can be seen by developers in the summary tab of the PckgCI testing. Example: https://github.com/iree-org/iree/actions/runs/9501523985 <img width="646" alt="image" src="https://github.com/iree-org/iree/assets/77521230/8c0e8732-64a9-4147-b596-64520b0622d6"> Side note: The build_test_all_bazel was failing the first couple times and then passed. Seems to be unstable --------- Signed-off-by: saienduri <saimanas.enduri@amd.com>
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.