Run ONNX model tests as part of pkgci_test_onnx. (#18795)

Progress on https://github.com/iree-org/iree-test-suites/issues/6.

Current tests included and their statuses:
```
PASSED onnx_models/tests/vision/classification_models_test.py::test_alexnet
PASSED onnx_models/tests/vision/classification_models_test.py::test_caffenet
PASSED onnx_models/tests/vision/classification_models_test.py::test_densenet_121
PASSED onnx_models/tests/vision/classification_models_test.py::test_googlenet
PASSED onnx_models/tests/vision/classification_models_test.py::test_inception_v2
PASSED onnx_models/tests/vision/classification_models_test.py::test_mnist
PASSED onnx_models/tests/vision/classification_models_test.py::test_resnet50_v1
PASSED onnx_models/tests/vision/classification_models_test.py::test_resnet50_v2
PASSED onnx_models/tests/vision/classification_models_test.py::test_shufflenet
PASSED onnx_models/tests/vision/classification_models_test.py::test_shufflenet_v2
PASSED onnx_models/tests/vision/classification_models_test.py::test_squeezenet
PASSED onnx_models/tests/vision/classification_models_test.py::test_vgg19
XFAIL onnx_models/tests/vision/classification_models_test.py::test_efficientnet_lite4
XFAIL onnx_models/tests/vision/classification_models_test.py::test_inception_v1
XFAIL onnx_models/tests/vision/classification_models_test.py::test_mobilenet
XFAIL onnx_models/tests/vision/classification_models_test.py::test_rcnn_ilsvrc13
XFAIL onnx_models/tests/vision/classification_models_test.py::test_zfnet_512
```

* CPU only for now. We haven't yet parameterized those tests to allow
for other backends or flags.
* Starting with `--override-ini=xfail_strict=false` so newly _passing_
tests won't fail the job. Newly _failing_ tests will fail the job. We
can add an external config file to customize which tests are expected to
fail like the onnx op tests if we want to track which are
passing/failing in this repository instead of in the test suite repo.

Sample logs:
https://github.com/iree-org/iree/actions/runs/11371239238/job/31633406729?pr=18795

ci-exactly: build_packages, test_onnx
1 file changed
tree: 52931ba97dc44ea5e631897a39857d03987a9cf9
  1. .github/
  2. build_tools/
  3. compiler/
  4. docs/
  5. experimental/
  6. integrations/
  7. lib/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
  11. tests/
  12. third_party/
  13. tools/
  14. .bazel_to_cmake.cfg.py
  15. .bazelignore
  16. .bazelrc
  17. .bazelversion
  18. .clang-format
  19. .git-blame-ignore-revs
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .pre-commit-config.yaml
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. MAINTAINERS.md
  33. README.md
  34. RELEASING.md
  35. WORKSPACE
README.md

IREE: Intermediate Representation Execution Environment

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 Discord Status pre-commit OpenSSF Best Practices

Project Status

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

Release status

PackageRelease status
GitHub release (stable)GitHub Release
GitHub release (nightly)GitHub Release
Python iree-compilerPyPI version
Python iree-runtimePyPI version

Build status

CI PkgCI

Host platformBuild status
LinuxCI - Linux x64 clang
CI - Linux arm64 clang
macOSCI - macOS x64 clang
WindowsCI - Windows x64 MSVC

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

Communication Channels

Related Project Channels

  • MLIR topic within LLVM Discourse: IREE is enabled by and heavily relies on MLIR. IREE sometimes is referred to in certain MLIR discussions. Useful if you are also interested in MLIR evolution.

Architecture Overview

IREE Architecture IREE Architecture

See our website for more information.

Presentations and Talks

Community meeting recordings: IREE YouTube channel

  • 2021-06-09: IREE Runtime Design Tech Talk (recording and slides)
  • 2020-08-20: IREE CodeGen: MLIR Open Design Meeting Presentation (recording and slides)
  • 2020-03-18: Interactive HAL IR Walkthrough (recording)
  • 2020-01-31: End-to-end MLIR Workflow in IREE: MLIR Open Design Meeting Presentation (recording and slides)

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.