[Codegen] Improve early bufferized padding codegen (#21694)

The current way we handle padding in CombineLayoutTransformation (the
early bufferization path) turns out to be very inefficient in some
cases, because we spend a lot of time spinning on indexing computation
while iterating over the output buffer. This PR updates the way we
generate the IR for writing padding values to avoid iterating over the
non-padded parts of the output buffer. The old and new methods are
described below:

### Old method ###

For a given tensor with padding, we would simply iterate over the entire
tensor, and write padding values when the indices fell within the padded
part of the output buffer. Visually this looks like the following:
```
          1st (only) loop (`x` == masked off)
         |———————————————————————————————————| 
                            |
                            v
         +———————————————————————————————————+
         | . . . . . . . . . . . . . . . . . |
         | . +———————————————————————+ . . . |
         | . | x x x x x x x x x x x | . . . |
         | . | x x x x x x x x x x x | . . . |
         | . | x x x x x x x x x x x | . . . |
         | . | x x x x x x x x x x x | . . . |
         | . +———————————————————————+ . . . |
         | . . . . . . . . . . . . . . . . . |
         +———————————————————————————————————+
```
### New method ###

There are multiple distributed loops, each loop performing the padding
for a hyperplane spanning the low or high pad of a corresponding
dimension, and fully spanning all other dimensions of the tensor. This
means that there is some overlap on the intersection of high and low
padding for each dimension.

```
 1st loop (low pad d0)        2nd loop (high pad d0)
        |———|                       |———————|
          |                             |
          v                             v
        +———+———————————————————————+———————+     ———
        | . | . . . . . . . . . . . | . . . | <--  |  3rd loop (low pad d1)
        +———+———————————————————————+———————+     ———
        | . | . . . . . . . . . . . | . . . |
        | . | . . . . . . . . . . . | . . . |
        | . | . . . . . . . . . . . | . . . |
        | . | . . . . . . . . . . . | . . . |
        +———+———————————————————————+———————+     ———
        | . | . . . . . . . . . . . | . . . | <--  |  4th loop (high pad d1)
        +———+———————————————————————+———————+     ———
```

With the new method, there is some overlap between loops, but the
overall padding computation is much cheaper because padding is expected
to be small relative to the output buffer size.

---------

Signed-off-by: Max Dawkins <max.dawkins@gmail.com>
4 files changed
tree: 3839cfd34dadcee5c37e09d4b3126259782d838d
  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 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.