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opensecura / 3p / openxla / iree / 866ca5aa0ec8f8b15972d6c3ac5279ec12e0f887
commit866ca5aa0ec8f8b15972d6c3ac5279ec12e0f887[log] [tgz]
authorGuray Ozen <guray.ozen@gmail.com>Sat Nov 12 21:03:54 2022 +0100
committerGitHub <noreply@github.com>Sat Nov 12 12:03:54 2022 -0800
treee5e4b5b8d34f5a63da8e5b1037813d3acdbd17fe
parentb833d9d47488f391ebc76f80a6f5ac71b7ea7b93 [diff]
Use Device Mapping Interface for Transform Dialect Ops (#11129)

`scf.foreach_thread` previously expressed thread mapping via an integer
array, that was very confusing. To make mapping descriptive, the
upstream MLIR implemented device mapping interface in
https://reviews.llvm.org/D137413 . It provides a device mapping
interface and two attributes GPUBlockMappingAttr and
GPUThreadMappingAttr.

IREE uses upstream MLIR's transform dialect. This PR integrates new
attributes to IREE's transform dialect examples.

Cherry-picks the following LLVM 
@6663f3470417523141ee87923840d17b35d6b4c7
@b7162e136edfbe7157e9341d4322705e50601796
@07665e78cb6008537e1ce6f5606d9838612d32fe
@0d845660f4e2c3dc3c1afc3db4c723db4bd32f01
16 files changed
tree: e5e4b5b8d34f5a63da8e5b1037813d3acdbd17fe
  1. .github/
  2. benchmarks/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
  11. tests/
  12. third_party/
  13. tools/
  14. .bazelignore
  15. .bazelrc
  16. .bazelversion
  17. .clang-format
  18. .dockerignore
  19. .gitignore
  20. .gitmodules
  21. .pylintrc
  22. .style.yapf
  23. .yamllint.yml
  24. AUTHORS
  25. BUILD.bazel
  26. CITATION.cff
  27. CMakeLists.txt
  28. configure_bazel.py
  29. CONTRIBUTING.md
  30. LICENSE
  31. README.md
  32. 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.