Google Git
Sign in
opensecura / 3p / openxla / iree / d0269f3830a88a89f1faadd1e15019be8e911d40
commitd0269f3830a88a89f1faadd1e15019be8e911d40[log] [tgz]
authorMax191 <44243577+Max191@users.noreply.github.com>Mon Oct 21 16:03:23 2024 -0700
committerGitHub <noreply@github.com>Mon Oct 21 19:03:23 2024 -0400
tree6fc86bf758eba0f0921218fc813306ca8e9ddab4
parent65101c0358e23c187405bb504ac20dfd8c416038 [diff]
Integrate llvm-project @864902e9b4d8bc6d3f0852d5c475e3dc97dd8335 (#18843)

bump llvm-project to
https://github.com/llvm/llvm-project/commit/864902e9b4d8bc6d3f0852d5c475e3dc97dd8335

Main changes in IREE (causing test updates):
- New forall loop canonicalizations are added which fold induction
variables. This can canonicalilze away some index computation, and fold
some extract_slice ops, so a few pipeline tests are changed.
- A new option for `hoistRedundantVectorTransfers` (`verifyNonZeroTrip`)
is set, which prevents hoisting from possibly zero trip loops. This
option is flipped in this integrate because it fixes a bug exposed by
forall loop canonicalizations.

---------

Signed-off-by: Max Dawkins <max.dawkins@gmail.com>
5 files changed
tree: 6fc86bf758eba0f0921218fc813306ca8e9ddab4
  1. .github/
  2. build_tools/
  3. compiler/
  4. docs/
  5. experimental/
  6. integrations/
  7. lib/
  8. llvm-external-projects/
  9. runtime/
  10. samples/
  11. tests/
  12. third_party/
  13. tools/
  14. .bazel_to_cmake.cfg.py
  15. .bazelignore
  16. .bazelrc
  17. .bazelversion
  18. .clang-format
  19. .git-blame-ignore-revs
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .pre-commit-config.yaml
  24. .yamllint.yml
  25. AUTHORS
  26. BUILD.bazel
  27. CITATION.cff
  28. CMakeLists.txt
  29. configure_bazel.py
  30. CONTRIBUTING.md
  31. LICENSE
  32. MAINTAINERS.md
  33. README.md
  34. RELEASING.md
  35. 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.

IREE Discord Status pre-commit OpenSSF Best Practices

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

Release status

PackageRelease status
GitHub release (stable)GitHub Release
GitHub release (nightly)GitHub Release
Python iree-compilerPyPI version
Python iree-runtimePyPI version

Build status

CI PkgCI

Host platformBuild status
LinuxCI - Linux x64 clang
CI - Linux arm64 clang
macOSCI - macOS x64 clang
WindowsCI - Windows x64 MSVC

For the full list of workflows see https://iree.dev/developers/general/github-actions/.

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

Community meeting recordings: IREE YouTube channel

  • 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.