Google Git
Sign in
opensecura / 3p / openxla / iree / 0d6768c194489225eaa12b3d8eda5752099ae10a
commit0d6768c194489225eaa12b3d8eda5752099ae10a[log] [tgz]
authorGeoffrey Martin-Noble <gcmn@google.com>Sun Aug 22 08:36:11 2021 -0700
committerGitHub <noreply@github.com>Sun Aug 22 08:36:11 2021 -0700
treef642b0dc282af61e4a7d47e8c43e81c16e5ba6b4
parent247a2a499e9112c2d1bcc81ee96017a95ecb4ed2 [diff]
Use IREE submodule dependencies in TF integrations build (#6817)

Instead of using all of TF's configuration of dependencies, we let
IREE's take precedence. This results in less surprising behavior when
editing IREE submodules and expecting a change to the integrations build
at the cost of building TF in a configuration more different from the is
one they use.

This didn't used to be possible because none of TF was configured with
`maybe`, but https://github.com/tensorflow/tensorflow/commit/7ed9c675
added similar functionality to `tf_http_archive`. This was more recently
blocked on TF's incompatibility with the upstream build files, but with
the removal of unnecessary references to
[`mlir:subpackages`](https://github.com/tensorflow/tensorflow/commit/417639263326)
and
[`mlir:friends`](https://github.com/tensorflow/tensorflow/commit/400d63c99ffc)
that issue should go away.
1 file changed
tree: f642b0dc282af61e4a7d47e8c43e81c16e5ba6b4
  1. .github/
  2. benchmarks/
  3. bindings/
  4. build_tools/
  5. colab/
  6. docs/
  7. experimental/
  8. integrations/
  9. iree/
  10. llvm-external-projects/
  11. scripts/
  12. third_party/
  13. .bazelignore
  14. .bazelrc
  15. .bazelversion
  16. .clang-format
  17. .gitignore
  18. .gitmodules
  19. .style.yapf
  20. .yamllint.yml
  21. AUTHORS
  22. BUILD.bazel
  23. CMakeLists.txt
  24. configure_bazel.py
  25. CONTRIBUTING.md
  26. LICENSE
  27. README.md
  28. SUBMODULE_VERSIONS.txt
  29. 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 SystemPlatformArchitectureConfiguration / ComponentStatus
KokoroBazelLinuxx86-64kokoro_status_bazel/linux/x86-swiftshader/core
KokoroCMake & BazelLinuxx86-64 (swiftshader)Integrationskokoro status cmake-bazel/linux/x86-swiftshader
KokoroCMake & BazelLinuxx86-64 (turing)Integrationskokoro status cmake-bazel/linux/x86-turing
KokoroCMakeLinuxx86-64 (swiftshader)kokoro status cmake/linux/x86-swiftshader
KokoroCMakeLinuxx86-64 (swiftshader)asankokoro status cmake/linux/x86-swiftshader-asan
KokoroCMakeLinuxx86-64 (turing)kokoro status cmake/linux/x86-turing
KokoroCMakeAndroidarm64-v8aRuntime (build only)kokoro status cmake/android/arm64-v8a
KokoroCMakeBare Metalrisc-v-32Runtimekokoro status cmake/baremetal/riscv32
KokoroCMakeLinuxrisc-v-64Runtimekokoro status cmake/linux/riscv64
BuildkiteCMakeAndroidarm64-v8aRuntimebuildkite status iree-android-arm64-v8a
BuildKiteCMakeAndroidarm64-v8aRuntime Benchmarks (Mako)buildkite status iree-android-benchmark
BuildKiteCMakeAndroidarm64-v8aRuntime Benchmarksbuildkite status iree-benchmark
BuildKiteCMakeLinuxx86-64Tracing + Standalone Runtimebuildkite status iree-build-configurations

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.