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opensecura/3p/openxla/iree/b7f1cf29bf5b68f69b649d6c754eaefa150cc25b
commit
b7f1cf29bf5b68f69b649d6c754eaefa150cc25b
[log]
author
Bangtian Liu <liubangtian@gmail.com>
Tue Apr 14 11:48:46 2026 -0400
committer
GitHub <noreply@github.com>
Tue Apr 14 11:48:46 2026 -0400
tree
b771ca73ac65a8d633d31e63fdbdd12ff23bc64a
parent
7ca09a2fc250c4c129d36fdf08c4069521371d2b [diff]
[LinalgExt] Add topk_v2 op with roundtrip and invalid mlir test (#24054)

**Context**: Refer to [Discord
discussion](https://discord.com/channels/689900678990135345/1491812950451814540)
for the design choice. We aim to add a top-K op with bitonic sort
vectorization along the VectorDistribute pipeline. Refer to Issue:
https://github.com/iree-org/iree/issues/24053 for more details.

This PR, as the first step, defines the` iree_linalg_ext.topk_v2`
operation and defines its verifier along with corresponding roundtrip
and invalid tests (`roundtrip.mlir` and `invalid.mlir`).

Support for topk_v2 will be added incrementally across multiple PRs: 

- Add the `iree_linalg_ext.topk_v2` op definition and verification
logic, along with roundtrip and invalid IR tests (this PR)
- Add tiling support
- Add convert_to_loops lowering support
- Add e2e support along the VectorDistribute pipeline (vectorization,
layout analysis, and distribution, etc)

---------

Signed-off-by: Bangtian Liu <liubangtian@gmail.com>
4 files changed
tree: b771ca73ac65a8d633d31e63fdbdd12ff23bc64a
  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. MODULE.bazel
  34. README.md
  35. RELEASING.md
README.md

IREE: Intermediate Representation Execution Environment

IREE (Intermediate Representation Execution Eenvironment, 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

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Releases notes are published on GitHub releases.

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

For more details on the release process, see https://iree.dev/developers/general/release-management/.

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Operating systemBuild status
LinuxCI - Linux arm64 clang
macOSCI - macOS x64 clang
macOSCI - macOS arm64 clang

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

DateTitleRecordingSlides
2025-06-10Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM)recordingslides
2025-05-17Introduction to GPU architecture and IREE's GPU CodeGen Pipelinerecordingslides
2025-02-12The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised)recordingslides
2024-10-01Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardwarerecording
2021-06-09IREE Runtime Design Tech Talkrecordingslides
2020-08-20IREE CodeGen (MLIR Open Design Meeting)recordingslides
2020-03-18Interactive HAL IR Walkthroughrecording
2020-01-31End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting)recordingslides

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.