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opensecura / 3p / openxla / iree / d015bbc5f1e0c6b117e5e1fbbbf8f42c381e09fb
commitd015bbc5f1e0c6b117e5e1fbbbf8f42c381e09fb[log] [tgz]
authorJakub Kuderski <kubak@google.com>Mon Mar 06 02:40:02 2023 -0500
committerGitHub <noreply@github.com>Mon Mar 06 08:40:02 2023 +0100
tree7f60f60bbca856833a76bd4f1124cd172b2c73db
parentc4b6be8b51ae2404e3b0f3284b0d2a07b44110ba [diff]
Integrate llvm-project at 33cf40122279342b50f92a3a53f5c185390b6018 (#12475)

* Reset third_party/llvm-project:
33cf40122279342b50f92a3a53f5c185390b6018 (2023-03-02 13:05:15 -0500):
[libc++][NFC] Reformat aligned_storage specialization macro
* Reset third_party/mlir-hlto: 4ceea1d9ae3c3f87071e2096c91f38da75d22242
(2023-03-02 12:43:52 -0800): [THLO] Add MemoryEffectOpInterface to all
DPS ops.
* Note: upstream hoisting on tensors does not canonicalize `scf.for`
anymore, run canonicalization to make this test happy.
* Note: upstream type/attribute parsing requires null-terminated strings
as of https://reviews.llvm.org/D144804
* Note: python pass manager runs on operations instead of modules as of
https://reviews.llvm.org/D143356

benchmarks: x86_64, cuda, comp-stats
21 files changed
tree: 7f60f60bbca856833a76bd4f1124cd172b2c73db
  1. .github/
  2. benchmarks/
  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. .bazelignore
  16. .bazelrc
  17. .bazelversion
  18. .clang-format
  19. .dockerignore
  20. .gitignore
  21. .gitmodules
  22. .pylintrc
  23. .style.yapf
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. README.md
  33. 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.