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opensecura / 3p / openxla / iree / 5183b58028e646f5421518b8c98c0f3317418b4d
commit5183b58028e646f5421518b8c98c0f3317418b4d[log] [tgz]
authorHanhan Wang <hanchung@google.com>Wed Aug 25 19:24:38 2021 +0000
committerCopybara Fixup Action <iree-github-actions-bot@google.com>Wed Aug 25 19:24:38 2021 +0000
treee51812b6344c7145e3da8315dabbf25498177a03
parent82210f94dba188f033753cdb4ed3d60e7c3f295e [diff]
parent30463f1ed58da4da59185ff5338a92c771a34367 [diff]
Merge main -> google

* 30463f1ed Adding #util.composite attribute. (#6854)
* 7a1c57981 Implement function.py return type coercion (#6832)
* d90f0fcf9 Remove PromoteTensorLoads pass, convert ExtractOp in TensorToFlow. (#6852)
* 7fa8c205a Update SwiftShader to 2021-08-25 (#6859)
* a3287619a Rename Bazel repo iree_vulkan_headers to vulkan_headers (#6862)
* 7660e4927 Merge pull request #6856 from google/benvanik-shared-target-backend
* ebc5eb5f7 Removing the pipeline caching during executable translation. (#6855)
* 2fb7a8d3c Reapply "Update TFLite concrete function conversion codes" (#6800)
* ce7b47599 NFC: Merge ConvertToFlow passes into dedicated before/after passes. (#6850)
* 9fce2d6a7 Support f32 in the VM by default in the compiler. (#6744)
* b6baea9f3 Support global ref ops and fix passing of refs on function boundaries in the C..
* 4b5d2edcf Bump flatcc version (#6853)
* c8a8f5d31 Add e2e tests for mhlo.bitcast_convert (#6846)

PiperOrigin-RevId: 392952973
tree: e51812b6344c7145e3da8315dabbf25498177a03
  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.