Add in-tree special_models test suite using reworked iree-tooling. (#17883)

With this, we move away from using all the specialized json config files
and complex workflows.
Instead, we use python scripts which allow us to use custom flags,
tolerances, and configurations based on the backend/model.
Related PR in TestSuite:
https://github.com/nod-ai/SHARK-TestSuite/pull/271

This PR also removes all dependencies on SHARK-TestSuite tooling.
Reworked the tools here so that downloading, caching, testing, and
benchmarking occurs as intended with tools solely from this repo for
iree_special_models. Whenever we are adding test files here, the goal is
for an IREE user to be able to clone the repo and run the run tests
knowing nothing about the SHARK-TestSuite .

Also didn't realize, but ireers here already has a process of stamping
here to check if a file is already produced. I think we have to remove
this because it will skip even if there is a newer version of the file
available and there's really no point when downloading to a cache
because once it's there, it is never removed so not a valuable signal.

(Third times the charm. Had to close the last two versions of this PR
because couldn't get passed a pre-commit check that led me to rebase and
add a bunch of commits that weren't mine 🤦 )

ci-exactly: build_all, test_amd_mi300, build_packages, regression_test

---------

Signed-off-by: saienduri <saimanas.enduri@amd.com>
29 files changed
tree: c4bb9988eebdcca244fb5c5412d1f71ab178d82c
  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. .dockerignore
  20. .git-blame-ignore-revs
  21. .gitattributes
  22. .gitignore
  23. .gitmodules
  24. .pre-commit-config.yaml
  25. .yamllint.yml
  26. AUTHORS
  27. BUILD.bazel
  28. CITATION.cff
  29. CMakeLists.txt
  30. configure_bazel.py
  31. CONTRIBUTING.md
  32. LICENSE
  33. MAINTAINERS.md
  34. README.md
  35. RELEASING.md
  36. 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.

CI Status IREE Discord Status

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!

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.