Initial commit of package based CI and regression testing. (#14793)

This patch lays a lot of new track:

* New CI jobs that are rooted in building deployable packages and having
those be used by subsequent jobs (for testing).
* New variant of the building scripts that will eventually subsume the
old once we rebase package building on top of this workflow (like it is
done for downstreams).
* A new `regression_test` project (currently under experimental) that
has the seeds for being able to handle "big" tests and a wider variety
of combinations than we presently have in other places like `e2e`.
* An initial set of tests targeting both CPU and AMD/Vulkan for llama2
7b f16/i4 to commemorate the current work the team has been doing. The
tests are not yet super inspired, just verifying that it compiles and
does in fact run, but I will expand them in a followup once the CI can
guide me.
* A regression testing job for CPU. Will add one for AMD GPU shortly
once I finish setting up the runner.

The regression_test project should be suitable for the development
workflow too, but it needs a bit more turns and mileage on it. Consider
this a WIP that I'll be holding carefully for some days to get it ready
for general use.
19 files changed
tree: df303c2e8f6340455456b67a5ec9547d41a0069d
  1. .devcontainer/
  2. .github/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. lib/
  9. llvm-external-projects/
  10. runtime/
  11. samples/
  12. tests/
  13. third_party/
  14. tools/
  15. .bazel_to_cmake.cfg.py
  16. .bazelignore
  17. .bazelrc
  18. .bazelversion
  19. .clang-format
  20. .dockerignore
  21. .git-blame-ignore-revs
  22. .gitignore
  23. .gitmodules
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. README.md
  33. 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

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

License

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