[DT][VMVX] Implement VMVXEncodingLayoutAttr. (#19403)

The revision implements the VMVX encoding layout attribute for device
code with the new IREE::CPU dialect.

Some additional dialect registration is needed because it could create
the VMVXEncodingLayoutAttr attribute in the pass pipeline; the dialect
needs to be loaded. The main refactoring changes are:

- Move chooseMatmulTile to IREECodegen/Utils. We can internalize the
  method once other CPU materialization logic is moved to their own
  attribute implementation.
- Move the enumerateMatmulTilesVMVX method to
  CPUEncodingExternalModels.cpp. It is only used by VMVX implementation.

On the Codegen utilitiy side (i.e., Codegen/Utils.[h|cpp]), the revision
adapts config query methods to use `Attribute`, and share the logic with
DictionaryAttr type. Previously, the configuration is wrapped into
IREE::HAL::ExecutableTarget attribute. Now we have DictionaryAttr
variants and we do not want to duplicate the implementation. Thus, the
functions take Attribute input and handle the cases in the
implementation.

On the data-tiling encoding materialization pass side, it creates the
VMVXEncodingLayoutAttr attribute (with the original target
configuration).

Note that the target configuration is an optional parameter and it is
expected to be used within pass scope, but not the final IR output.

No additional tests because they are covered by
vmvx_materialize_encoding.mlir.

---------

Signed-off-by: hanhanW <hanhan0912@gmail.com>
30 files changed
tree: e39db420051652faa401f45998ee7e5557dd6fb1
  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-base-compilerPyPI version
Python iree-base-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.