Google Git
Sign in
opensecura / 3p / openxla / iree / 950e172ff9d64e87ccd06e9855dda78ddda1dd1b
commit950e172ff9d64e87ccd06e9855dda78ddda1dd1b[log] [tgz]
authorJakub Kuderski <kubak@google.com>Wed May 31 21:40:09 2023 -0400
committerGitHub <noreply@github.com>Wed May 31 21:40:09 2023 -0400
treee676e2ae7b8720c88fdf0953fb27d0aafbc9855a
parent2d228ffbf4867865a4191146341fa462046e90c5 [diff]
Deprecate MHLO input conversion pipeline (#13870)

As we continue the migration to the stablehlo input conversion pipeline,
mark the mhlo pipeline as deprecated and rename the option to
`--iree-input-type=mhlo_legacy`.

This was proposed and announced in the following RFC:
https://groups.google.com/g/iree-discuss/c/s6dBpDtWhtk.

Users are encouraged to try the new pipeline:
`--iree-input-type=stablehlo` and report any issues or missing features,
as we plan to drop the legacy mhlo pipeline in a few weeks.

Update tests to use the new flag name. Update documents to suggest
either the new pipeline or the new flag.

Next, we will have to migrate existing test and samples to use StableHLO
as the input format:
https://github.com/openxla/iree/issues/13869.

Issue: https://github.com/openxla/iree/issues/12678
42 files changed
tree: e676e2ae7b8720c88fdf0953fb27d0aafbc9855a
  1. .devcontainer/
  2. .github/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. lib/
  9. llvm-external-projects/
  10. runtime/
  11. samples/
  12. tests/
  13. third_party/
  14. tools/
  15. .bazel_to_cmake.cfg.py
  16. .bazelignore
  17. .bazelrc
  18. .bazelversion
  19. .clang-format
  20. .dockerignore
  21. .gitignore
  22. .gitmodules
  23. .pylintrc
  24. .style.yapf
  25. .yamllint.yml
  26. AUTHORS
  27. BUILD.bazel
  28. CITATION.cff
  29. CMakeLists.txt
  30. configure_bazel.py
  31. CONTRIBUTING.md
  32. LICENSE
  33. README.md
  34. 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.

CI Status

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.

Architecture Overview

IREE Architecture 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.