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opensecura / 3p / openxla / iree / 2c11510e8f250334ad18543bee0a38f6828a2299
commit2c11510e8f250334ad18543bee0a38f6828a2299[log] [tgz]
authorHan-Chung Wang <hanchung@google.com>Tue Mar 08 23:50:37 2022 -0800
committerGitHub <noreply@github.com>Tue Mar 08 23:50:37 2022 -0800
tree9f89d5d9697a1685356178cc48f3982080f279a5
parent6d0b88d32e8ea81d5ced7e2c3acf9e44a4805cb9 [diff]
Add support for vectorizing normal convolution ops. (#8460)

This PR has slight improvements in MobileNet V3 and V2. For other cases, they may be noises. For PoseNet, there are regressions in multi-threaded. It's just a matter of configuration tuning, so it's fine at this moment.

Configurations: taskset 80 + dylib-sync on local Pixel 4

| Model            | Before  | After   |
| ---------------- | ------- | ------- |
| DeepLabV3        | 705 ms  | 704 ms  |
| MobileBertSquad  | 669 ms  | 673 ms  |
| MobileNetV2      | 104 ms  | 103 ms  |
| MobileNetV3Small | 25.4 ms | 24.7 ms |
| MobileSSD        | 205 ms  | 201 ms  |
| PoseNet          | 546 ms  | 545 ms  |

Configurations: taskset f0 + dylib on local Pixel 4

| Model            | Before  | After   |
| ---------------- | ------- | ------- |
| DeepLabV3        | 371 ms  | 374 ms  |
| MobileBertSquad  | 375 ms  | 374 ms  |
| MobileNetV2      | 66.1 ms  | 64.5 ms  |
| MobileNetV3Small | 21.4 ms | 20.9 ms |
| MobileSSD        | 92.7 ms  | 91.2 ms  |
| PoseNet          | 189 ms  | 202 ms  |
6 files changed
tree: 9f89d5d9697a1685356178cc48f3982080f279a5
  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. .pylintrc
  20. .style.yapf
  21. .yamllint.yml
  22. AUTHORS
  23. BUILD.bazel
  24. CMakeLists.txt
  25. configure_bazel.py
  26. CONTRIBUTING.md
  27. LICENSE
  28. README.md
  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 Benchmarksbuildkite status iree-benchmark
BuildKiteCMakeLinuxx86-64Tracing + Standalone Runtimebuildkite status iree-build-configurations

Architecture Overview

IREE Architecture

See our website for more information.

Presentations and Talks

  • 2021-06-09: IREE Runtime Design Tech Talk (recording and slides)
  • 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.