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opensecura / 3p / openxla / iree / b1b26d773b2e1049f82a06d426278e0a4161cdfd
commitb1b26d773b2e1049f82a06d426278e0a4161cdfd[log] [tgz]
authorMaheshRavishankar <1663364+MaheshRavishankar@users.noreply.github.com>Tue Jun 08 13:18:51 2021 -0700
committerGitHub <noreply@github.com>Tue Jun 08 13:18:51 2021 -0700
treef5a796371da48ed4119b19568ebc60b77f477140
parent96e2a2957891cbf03768a50b5082186a38921201 [diff]
Allow CPU translation to be specified using command line options. (#6116)

One advantage of using dynamic pass pipelines is that the translation
of the executable to scalar/native code can be done using a pass
pipeline that itself might be specified as a command line option. The
LowerExecutableTranslation now has an options `use-lowering-pipeline`
that can take a list of passes and then lower them to code that can
then be translated to LLVM using the standard LLVM lowering passes.
The lowering pipeline specified as command line only makes sense if
there is just one executable. If there are multiple executables, then
the same pipeline will be used for all of them.

Also clean up some of the default configuration. This is done by
adding a struct `IREE::HAL::TranslateExecutableInfo` which is right
now a C++ struct. This is mostly staging, since it could potentially
be rolled into `hal.executable.target` operation itself.
10 files changed
tree: f5a796371da48ed4119b19568ebc60b77f477140
  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. AUTHORS
  20. BUILD.bazel
  21. CMakeLists.txt
  22. configure_bazel.py
  23. CONTRIBUTING.md
  24. LICENSE
  25. README.md
  26. SUBMODULE_VERSIONS.txt
  27. 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.

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 2.0 License with LLVM Exceptions. See LICENSE for more information.