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opensecura / 3p / openxla / iree / 8c41e5177f6a8cc33200bb91c8b01dee72bf0942
commit8c41e5177f6a8cc33200bb91c8b01dee72bf0942[log] [tgz]
authorJakub Kuderski <kubak@google.com>Tue May 30 11:34:46 2023 -0400
committerGitHub <noreply@github.com>Tue May 30 11:34:46 2023 -0400
tree082599d3d5713f9dc6a32f1c757ae9de1c986594
parent3a185448429483a55c16a7147aca6f8a20adebae [diff]
[StableHLO][CHLO] Port CHLO decomposition patterns (#13838)

These are ported from the mlir-hlo project. For more context, see the
initial import: https://github.com/openxla/iree/pull/12957.

The biggest difference it the removal of most FileCheck CHECK lines in
tests. MHLO hardcoded thousands lines of exact decomposition sequences
that fell apart after due to different canonicalizations and folds.
Without a script to regenerate these CHECKs, these tests were not
maintainable and I decided to drop them. Now we only check that the
dialect conversion succeeded.

Other notable differences to the MHLO implementation:
-  Ported some utility functions and tablegen defs.
-  New `chlo.tan` lowering, since StableHLO does not provide a tan op.

Issue: https://github.com/openxla/iree/issues/13803
9 files changed
tree: 082599d3d5713f9dc6a32f1c757ae9de1c986594
  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. .gitignore
  22. .gitmodules
  23. .pylintrc
  24. .style.yapf
  25. .yamllint.yml
  26. AUTHORS
  27. BUILD.bazel
  28. CITATION.cff
  29. CMakeLists.txt
  30. configure_bazel.py
  31. CONTRIBUTING.md
  32. LICENSE
  33. README.md
  34. 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

  • 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.