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opensecura / 3p / openxla / iree / d2dd9e23eff96787a66871239c32c627fc3da51b
commitd2dd9e23eff96787a66871239c32c627fc3da51b[log] [tgz]
authorBen Vanik <ben.vanik@gmail.com>Sat May 11 08:51:54 2024 -0700
committerGitHub <noreply@github.com>Sat May 11 15:51:54 2024 +0000
treed3e619110ba80910dcd6ee5113d89215118b649a
parent5337bd761a9d31da1aeea247917c087366059fb5 [diff]
Replacing hal.tensor.export storage for hal.tensor.alias. (#17339)

This fixes a design issue in the original `hal.tensor.export` optional
storage feature that would lead to the export happening after any
`hal.tensor.barrier` ops that may have been used on the source tensor.
The new op is intended to be inserted prior to the barriers and can also
be inserted elsewhere (not just at ABI boundaries).

Minor improvements were required to folding of `stream.async.update` in
order to ensure the aliased buffers are used in cases where barriers are
present between producers and the alias ops consuming the values. #17135
made the folder too conservative and would result in all in-place
operations of external values getting extra copies.

Fixes #17316.
17 files changed
tree: d3e619110ba80910dcd6ee5113d89215118b649a
  1. .devcontainer/
  2. .github/
  3. build_tools/
  4. compiler/
  5. docs/
  6. experimental/
  7. integrations/
  8. lib/
  9. llvm-external-projects/
  10. runtime/
  11. samples/
  12. tests/
  13. third_party/
  14. tools/
  15. .bazel_to_cmake.cfg.py
  16. .bazelignore
  17. .bazelrc
  18. .bazelversion
  19. .clang-format
  20. .dockerignore
  21. .git-blame-ignore-revs
  22. .gitignore
  23. .gitmodules
  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.

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.