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opensecura / 3p / openxla / iree / 5add66feec1ef04f8b63f5591ec386d5ceb49e58
commit5add66feec1ef04f8b63f5591ec386d5ceb49e58[log] [tgz]
authorBen Vanik <ben.vanik@gmail.com>Mon Jul 29 18:13:27 2024 -0700
committerGitHub <noreply@github.com>Mon Jul 29 18:13:27 2024 -0700
tree9ebdc903c89f3c76af182becd13a38fca6d89fbe
parentcc60fffa5b832c854bbd30dd31bac3889baa5985 [diff]
parentad9634e36b2e7fff349bf95db051c69691dab678 [diff]
Updating HAL/VM ABI to support indirect bindings (COMPATIBILITY BREAKING). (#17951)

This bumps the HAL module version to 0.3 and makes a few changes
required to support reusable/indirect command buffers.

This is the first breaking change in the HAL ABI in 2024 and hopefully
the only one required this year!

Summary of changes:
* `hal.command_buffer.create` now takes a set of allowed queue
affinities to match `iree_hal_command_buffer_create`
* `hal.command_buffer.update_buffer` was added and maps to
`iree_hal_command_buffer_update_buffer`
* `hal.command_buffer.fill_buffer`, `hal.command_buffer.copy_buffer`,
`hal.command_buffer.collective`, and
`hal.command_buffer.dispatch.indirect` were updated to take binding
table slots in addition to buffer pointers

Progress on #17875.
tree: 9ebdc903c89f3c76af182becd13a38fca6d89fbe
  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.