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opensecura/3p/openxla/iree/cff4b04858d8207a5c94f113bbf99407a1322db7
commit
cff4b04858d8207a5c94f113bbf99407a1322db7
[log]
author
Benoit Jacob <jacob.benoit.1@gmail.com>
Fri May 15 15:38:45 2026 -0400
committer
GitHub <noreply@github.com>
Fri May 15 15:38:45 2026 -0400
tree
0def8c97e1091f1389d83e77f6d3fac7fc30ae1f
parent
7af48c8886eb3d733e9a54156adbe82292a5841b [diff]
[Codegen][CPU] Add e2e matmul tests for the inner_tiled lowering path. (#24492)

Adds an `e2e_matmul_cpu_dt_inner_tiled_*` family that mirrors the
existing legacy-path `e2e_matmul_cpu_dt_*` block (same type matrix:
i8/i32, f32/f32, f64/f64, f16/f16, f16/f32, bf16/bf16, bf16/f32; same
per-type x86 cpu-features variants; f64-demote guard; riscv/wasm tags)
but with `--iree-opt-data-tiling --iree-llvmcpu-enable-inner-tiled`.

Type×feature combos that match a hardware MMA intrinsic (e.g. f32/f32 on
AVX2, bf16/f32 on AVX-512-BF16, i8/i32 on AVX-512-VNNI) exercise the new
`iree_codegen.inner_tiled` lowering; the rest fall through to the
type-polymorphic generic-scalar MMA (#24389), so this is a correctness
check on data-tiling-enabled compilation either way.

Shapes use the `default` set, except f64 (`small`, due to f64-demote
handling). The prerequisite pre-transposed-enum PR is what lets us start
at the full shape set rather than progressively widen.

Progress towards #24323.

---------

Signed-off-by: Benoit Jacob <jacob.benoit.1@gmail.com>
2 files changed
tree: 0def8c97e1091f1389d83e77f6d3fac7fc30ae1f
  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

Project news

Project status

Release status

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/.

Build status

CI PkgCI

Nightly build status

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.