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opensecura / 3p / openxla / iree / ac418d1f45d562bf9e9675bf69606c7d718e2432
commitac418d1f45d562bf9e9675bf69606c7d718e2432[log] [tgz]
authorLei Zhang <antiagainst@gmail.com>Thu Jun 20 19:24:08 2024 -0700
committerGitHub <noreply@github.com>Fri Jun 21 02:24:08 2024 +0000
treebc3ab7e99bdabe82713fc51720f6c81a8f313228
parentf4279657ef8da12d07f068a37cbd93986edb47d8 [diff]
Integrate llvm/llvm-project@27ac46e6bea2 (#17662)

Updated to llvm/llvm-project@27ac46e6bea2
* Used LLVM `MathExtras.h` to replace MLIR one
* Updated `applySignatureConversion` usage

Updated to openxla/stablehlo@dd48ec5
* `chlo.minimum_broadcast_shapes` op was removed
  https://github.com/openxla/stablehlo/pull/2287
* `chlo.dynamic_reshape` op was removed
  https://github.com/openxla/stablehlo/pull/2286
* Added batching dims to scatter dims
  https://github.com/openxla/stablehlo/pull/2259

Updated to llvm/torch-mlir@77d7f64

---------

Co-authored-by: hanhanW <hanhan0912@gmail.com>
Co-authored-by: Rob Suderman <rob.suderman@gmail.com>
Co-authored-by: Quinn Dawkins <quinn@nod-labs.com>
Co-authored-by: Nirvedh Meshram <nirvedh@gmail.com>
49 files changed
tree: bc3ab7e99bdabe82713fc51720f6c81a8f313228
  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. .gitattributes
  23. .gitignore
  24. .gitmodules
  25. .pre-commit-config.yaml
  26. .yamllint.yml
  27. AUTHORS
  28. BUILD.bazel
  29. CITATION.cff
  30. CMakeLists.txt
  31. configure_bazel.py
  32. CONTRIBUTING.md
  33. LICENSE
  34. MAINTAINERS.md
  35. README.md
  36. RELEASING.md
  37. 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.