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opensecura / 3p / openxla / iree / eef462316479bb927c00e63caafccf8a7077f6bc
commiteef462316479bb927c00e63caafccf8a7077f6bc[log] [tgz]
authorJakub Kuderski <jakub@nod-labs.com>Mon Sep 23 09:33:16 2024 -0400
committerGitHub <noreply@github.com>Mon Sep 23 13:33:16 2024 +0000
tree4ca62f47fd8a517e1e20b29dcbe4c64a8f625985
parent5a6bd8d9ca463f4774b9424047028260fb0d7606 [diff]
[LLVMGPU][ROCm] Move kernel annotation before serialization (#18573)

ROCMTarget serialization is not the best location for this code because
it violates the following invariant in
`buildLLVMGPUCodegenPassPipeline`:
>  - The module contains the final llvm.module ready to be serialized.

Specifically, requiring the ROCDL dialect to be loaded is problemantic
during serialization, as target-agnostic serialization in
(`iree-hal-serialize-executables`) does not register dependent dialects.

This PR moves kernel annotation just after conversion to ROCDL in the
`LowerToGPUPasses` pass pipeline.

Also add kernel annotation tests that were not straightforward to add
before, as annotation was not a freestanding pass whose output could be
inspected.
11 files changed
tree: 4ca62f47fd8a517e1e20b29dcbe4c64a8f625985
  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. .dockerignore
  20. .git-blame-ignore-revs
  21. .gitattributes
  22. .gitignore
  23. .gitmodules
  24. .pre-commit-config.yaml
  25. .yamllint.yml
  26. AUTHORS
  27. BUILD.bazel
  28. CITATION.cff
  29. CMakeLists.txt
  30. configure_bazel.py
  31. CONTRIBUTING.md
  32. LICENSE
  33. MAINTAINERS.md
  34. README.md
  35. RELEASING.md
  36. 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.