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opensecura / 3p / openxla / iree / 42ee29988a228dad8db9ac46a5a5eb496c019c7a
commit42ee29988a228dad8db9ac46a5a5eb496c019c7a[log] [tgz]
authorHanhan Wang <hanchung@google.com>Wed May 19 18:18:09 2021 +0000
committerCopybara Fixup Action <iree-github-actions-bot@google.com>Wed May 19 18:18:09 2021 +0000
tree544229df65a86715487d35c5cfd7cc78c46f48c5
parenteac55b6464b328d9264f6bb6a15f5b0fb74a4130 [diff]
parent367468b8b63ef724cd74dcb145c39b52aaf56af5 [diff]
Merge main -> google

* 367468b8b Fix tests for shift operations (#5952)
* 577d9d9cc Integrate MLIR-EmitC at iml130/mlir-emitc@0b9d50b (#5936)
* b5f3dda01 Add attribute to capture lowering configuration. (#5842)
* 4b31bd95f Initial Adding ROCM HAL Backend to Experimental (#5943)
* 3bdcea8df Merge google -> main (#5947)
* 90368f18f Remove file left during renaming from LinagToNVVM to LinalgToLLVMGPU (#5940)

PiperOrigin-RevId: 374687876
tree: 544229df65a86715487d35c5cfd7cc78c46f48c5
  1. .github/
  2. bindings/
  3. build_tools/
  4. colab/
  5. docs/
  6. experimental/
  7. integrations/
  8. iree/
  9. scripts/
  10. third_party/
  11. .bazelignore
  12. .bazelrc
  13. .bazelversion
  14. .clang-format
  15. .gitignore
  16. .gitmodules
  17. .style.yapf
  18. .yamllint.yml
  19. BUILD.bazel
  20. CMakeLists.txt
  21. configure_bazel.py
  22. CONTRIBUTING.md
  23. LICENSE
  24. README.md
  25. SUBMODULE_VERSIONS.txt
  26. WORKSPACE
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Environment, pronounced as “eerie”) is an MLIR-based end-to-end compiler that lowers Machine Learning (ML) models to a unified IR optimized for real-time inference on mobile/edge devices against heterogeneous hardware accelerators. IREE also provides flexible deployment solutions for its compiled ML models.

See our website for project details, user guides, and instructions on building from source.

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.

Build Status

CI SystemBuild SystemPlatformArchitectureComponentStatus
KokoroBazelLinuxx86Corekokoro_status_bazel_linux_x86_core
KokoroCMake & BazelLinuxx86-swiftshaderIntegrationskokoro_status_cmake-bazel_linux_x86-swiftshader_integrations
KokoroCMake & BazelLinuxx86-turingIntegrationskokoro_status_cmake-bazel_linux_x86-turing_integrations
KokoroCMakeLinuxx86-swiftshaderCore + Bindingskokoro_status_cmake_linux_x86-swiftshader
KokoroCMakeLinuxx86-swiftshader-asanCore + Bindingskokoro_status_cmake_linux_x86-swiftshader-asan
KokoroCMakeLinuxx86-turingCore + Bindingskokoro_status_cmake_linux_x86-turing
KokoroCMakeAndroidarm64-v8aRuntime (build only)kokoro_status_cmake_android_arm64-v8a
BuildKiteCMakeAndroidarm64-v8aRuntimebuildkite-status-cmake-android-arm

Presentations and Talks

  • 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 license. See LICENSE for more information.