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opensecura / 3p / openxla / iree / 69900ee8434ff74322e7fcc1fb0a40af407d200b
commit69900ee8434ff74322e7fcc1fb0a40af407d200b[log] [tgz]
authorMax191 <44243577+Max191@users.noreply.github.com>Fri Jul 19 06:08:02 2024 -0700
committerGitHub <noreply@github.com>Fri Jul 19 09:08:02 2024 -0400
tree07359700266d2aa5bb950ed09aaa327854cbd8f0
parentcfc79eaddf22ac9a69b1557722f905928972fca5 [diff]
[Codegen][GPU] Use bufferization.alloc_tensor for gpu.shuffle_tensor destination (#17940)

The destination for the gpu.shuffle_tensor op will always end up needing
shared memory allocations. When the destination is left as a
tensor.empty op, it can potentially be CSEd with other
gpu.shuffle_tensor destinations. This PR creates a
bufferization.alloc_tensor when generating gpu.shuffle_tensor ops
instead, which will not be CSEd.

---------

Signed-off-by: Max Dawkins <max.dawkins@gmail.com>
5 files changed
tree: 07359700266d2aa5bb950ed09aaa327854cbd8f0
  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.

CI Status IREE Discord Status

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!

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.