[Codegen][CPU] Fix RHS indexing map in materialize-encoding inner_tiled lowering. (#24325)

The CPU encoding-materialization path (`lowerContractionOpToInnerTiled`)
emits an `iree_codegen.inner_tiled` op with the standard matmul indexing
maps `[(d0, d2), (d2, d1), (d0, d1)]`, but the RHS pack it lowers to
uses `outer_dims_perm = [1, 0]` so the packed RHS comes out with outer
dims in `(N_iter, K_iter)` order — i.e. mmt4d-style, not standard-matmul
style. The two interpretations of the same operand shape disagree, and
the inner_tiled verifier rejects the op with:

    error: 'iree_codegen.inner_tiled' op shape does not match
           iteration bounds

Switching the RHS map to `(d0, d1, d2) -> (d1, d2)` matches what the
pack actually produces and lets the verifier project a consistent
iteration domain across all three operands. The semantics are still a
valid contraction (one parallel + one reduction on each input, two
parallels on the output), just with the RHS walked in mmt4d order.

Without this fix, data-tiled `linalg.matmul` -> `inner_tiled` lowering
on CPU fails the verifier on the very first dispatch and never gets near
codegen; with it, end-to-end compile gets past verification all the way
to bufferization (where a separate, pre-existing pipeline gap takes
over: there is no CPU pass yet that vectorizes/lowers `inner_tiled`
before bufferize).

Progress towards #24323
2 files changed
tree: c02181eef2332a3c4a5790b26772d300687412e3
  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.

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Releases notes are published on GitHub releases.

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GitHub release (stable)GitHub Release
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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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LinuxCI - Linux arm64 clang
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For the full list of workflows see https://iree.dev/developers/general/github-actions/.

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  • 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.