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opensecura / 3p / openxla / iree / 598a60e3f9d6b08a6384174e400bdc5fbe0f7f60
commit598a60e3f9d6b08a6384174e400bdc5fbe0f7f60[log] [tgz]
authorMax191 <44243577+Max191@users.noreply.github.com>Wed Oct 09 13:23:06 2024 -0700
committerGitHub <noreply@github.com>Wed Oct 09 13:23:06 2024 -0700
tree34ed5536c4612f36ba78df578205c345a50ece49
parentce4f09861f5845d88016fb61c695d94292446e69 [diff]
[Im2col] Allow multiple batch, M, and K dimensions on im2col result (#18593)

This PR adds support for multiple M and K dimensions in the result of
the im2col op. New metadata is added for correctly tracking the offsets
into the M and K dimensions along the multiple dimensions. New `m_strides`
and `k_strides` fields are added to the op, which represent a basis for
linearizing the `m_offset` and `k_offset` fields.

The motivation for doing this is that flattening the M dimension can
create an expand_shape op consumer of the resulting matmul. This can
cause issues with fusion and distribution, so it is useful to be able to
keep the multiple M dimensions intact. This PR does not change any
behavior of Conv2DToIm2col pass, which will be done in a later PR.

---------

Signed-off-by: Max Dawkins <max.dawkins@gmail.com>
16 files changed
tree: 34ed5536c4612f36ba78df578205c345a50ece49
  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.