Enable benchmarks from TFLite flatbuffers on benchmark pipeline (#7494)

This replaces the three benchmarks derived from TFLite flatbuffers to
use the original flatbuffer source rather than a pre-compiled MLIR
file. These benchmarks are updated in place since the original source
is exactly the same. Using flatbuffers avoids a few issues:
1. The MLIR IR formats do not offer any backward compatibility
   guarantees. When MLIR syntax changes in a backward-incompatible way,
   the benchmark pipeline breaks.
2. Updates to the frontend compilation are not captured in real time.
   They are only incorporated as part of the updates above, which means
   that they are realized only when updating the MLIR files due to
   syntax changes.

This adds a dependency on the TFLIte frontend to benchmark generation.
In the automated pipeline, the additional Bazel compilation uses the
remote cache and should therefore usually be fast (as it shares the
cache with the normal CI run). In local generation, users will have to
either build `iree-import-tflite` from source or fetch it as part of a
release. Given that we would like to move all benchmarks to originate
from stable formats, I've made trying to run a TFLite benchmark without
`IREE_BUILD_TFLITE_COMPILER` set an error rather than a warning that
skips the benchmark. This explicit check just fails slightly earlier
and more clearly, as the `TARGET_FILE` lookup for `iree-import-tflite`
would fail subsequently.
6 files changed
tree: eba33268b467e8f465b5ec80af26a4be05a74904
  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 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.