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opensecura / 3p / openxla / iree / 79b90d32d1723b0650b33bc5584dccb4828e5421
commit79b90d32d1723b0650b33bc5584dccb4828e5421[log] [tgz]
authorLei Zhang <antiagainst@google.com>Fri Dec 16 13:37:34 2022 -0800
committerGitHub <noreply@github.com>Fri Dec 16 13:37:34 2022 -0800
tree0139d9f43d51c4a60eafd3dd0063f837d6903467
parent7b4688272e40e939dc02053c7178b111a21eadd5 [diff]
Integrate llvm/llvm-project@4bb85698d69c (#11576)

* Reset third_party/llvm-project:
4bb85698d69c69fb21940b81f69aff5c76428f82 (2022-12-15 16:09:42 +0800):
[LoongArch] Undef the macro after using it. NFC.
* Cherry-picked LLVM/MLIR patches
  * llvm/llvm-project@d2b070d
  * llvm/llvm-project@dbddd4f
  * llvm/llvm-project@f1db4ae
  * llvm/llvm-project@ccb8a4e3
* Updated to tensorflow/tensorflow@d55adc8
* Updated to tensorflow/mlir-hlo@b7dce1e
  * Carried forward local change for `llvm::None`
* Updated `dispatchIndexOpFoldResults` usages after
llvm/llvm-project@ded75a282a15
* Fixed `mhlo::GetDimensionSizeOp` result type after
tensorflow/mlir-hlo@0038a82760d5
* Disabled `reduction_v2_uneven.mlir` (tracking issue #11586)
* Marked several now passing integration tests
* Workaround for vectorization pattern rewrite convergence issue

Co-authored-by: Hanhan Wang <hanchung@google.com>
21 files changed
tree: 0139d9f43d51c4a60eafd3dd0063f837d6903467
  1. .github/
  2. benchmarks/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
  11. tests/
  12. third_party/
  13. tools/
  14. .bazelignore
  15. .bazelrc
  16. .bazelversion
  17. .clang-format
  18. .dockerignore
  19. .gitignore
  20. .gitmodules
  21. .pylintrc
  22. .style.yapf
  23. .yamllint.yml
  24. AUTHORS
  25. BUILD.bazel
  26. CITATION.cff
  27. CMakeLists.txt
  28. configure_bazel.py
  29. CONTRIBUTING.md
  30. LICENSE
  31. README.md
  32. 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.