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opensecura / 3p / openxla / iree / fa44a32bf05036e9ce707317f0650ae165b74a94
commitfa44a32bf05036e9ce707317f0650ae165b74a94[log] [tgz]
authorKunwar Grover <groverkss@gmail.com>Thu Sep 19 14:03:51 2024 +0530
committerGitHub <noreply@github.com>Thu Sep 19 08:33:51 2024 +0000
treeaa69750f0cf1fb72d5099b2aa66cf772535348c2
parent04144f65f5fee10cfffca851e52d64ac08aadb43 [diff]
[LLVMGPU] Explicitly set configs for vector distribution pipeline lowering tests (#18553)

This patch does two things:

- Before this patch, tests in pipeline_vector_distribute.mlir run
select-lowering-config as well as the lowering pipeline together. This
restricts us from testing lowering for different configs for the same
kernel. This patch explicitly sets configuration for kernels in these
tests. For configuration, we already have tests in
config_vector_distribute.mlir which test kernel config logic for vector
distribution.
- Tests for gfx940 and gfx1100 were in the same file. Since we set
kernel configuration explicitly, running a test with a gfx1100 intrinsic
with gfx940 test target chip would cause errors. This patch splits these
tests into their own files.
4 files changed
tree: aa69750f0cf1fb72d5099b2aa66cf772535348c2
  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.