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opensecura / 3p / openxla / iree / 0281721b846993eefda4342c869e2ec60ae51481
commit0281721b846993eefda4342c869e2ec60ae51481[log] [tgz]
authorScott Todd <scotttodd@google.com>Wed May 19 11:05:14 2021 -0700
committerGitHub <noreply@github.com>Wed May 19 11:05:14 2021 -0700
tree8cce58073e0a471cc4e11e71c97e2da14bb54ded
parent367468b8b63ef724cd74dcb145c39b52aaf56af5 [diff]
Add a Colab notebook demonstrating TensorFlow Hub import. (#5945)

This walks through the process of importing a model from [TensorFlow Hub](https://tfhub.dev/) step by step, including debugging and fixing missing serving signatures. At the end of the notebook it zips up compilation artifacts and downloads them to the user's machine.

See also https://github.com/google/iree/issues/5556 for ways to make the debugging shown here less necessary or at least more user friendly.

Progress on https://github.com/google/iree/issues/5591
3 files changed
tree: 8cce58073e0a471cc4e11e71c97e2da14bb54ded
  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.