Adding iree_hal_device_queue_host_call and emulation.  (#21653)

This allows for both blocking and non-blocking device->host calls.

Emulation is provided targets that aren't yet using their native
features (CUDA/HIP/Metal) or don't have them (Vulkan), but it should
never be used once we start relying on this for programs as the
performance is terrible. The CPU sync and task implementations are done
here as the emulation is incompatible with sync semantics and it's
possible to implement it on the task system fairly easily.

I split out the existing queue emulation utilities out of the device.c
so high-fidelity backends can eventually not even link that code in. I
added the host call emulation in its own target so we can avoid
introducing threading dependencies into `iree::hal` for the emulation
(and makes it clearer what's part of the API vs what's an implementation
detail).

I suspect there may be some HIP flakes and we can disable the CTS
there/file issues if they pop up. I think there's a few cases in the HIP
semaphore that don't quite work but it'd be better to improve the
semaphore tests first. HIP is using an emulated host call here and
that's pretty much just a thread and some semaphores and should be
possible to test independent of the host call logic.

Fixes #21631.
44 files changed
tree: 4e7cd0d6a4030b6120d1ef995c540403565cb0e7
  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. .git-blame-ignore-revs
  20. .gitattributes
  21. .gitignore
  22. .gitmodules
  23. .pre-commit-config.yaml
  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.

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Releases notes are published on GitHub releases.

PackageRelease status
GitHub release (stable)GitHub Release
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iree-base-compilerPyPI version
iree-base-runtimePyPI version

For more details on the release process, see https://iree.dev/developers/general/release-management/.

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LinuxCI - Linux arm64 clang
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For the full list of workflows see https://iree.dev/developers/general/github-actions/.

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  • 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

DateTitleRecordingSlides
2025-06-10Data-Tiling in IREE: Achieving High Performance Through Compiler Design (AsiaLLVM)recordingslides
2025-05-17Introduction to GPU architecture and IREE's GPU CodeGen Pipelinerecordingslides
2025-02-12The Long Tail of AI: SPIR-V in IREE and MLIR (Vulkanised)recordingslides
2024-10-01Unveiling the Inner Workings of IREE: An MLIR-Based Compiler for Diverse Hardwarerecording
2021-06-09IREE Runtime Design Tech Talkrecordingslides
2020-08-20IREE CodeGen (MLIR Open Design Meeting)recordingslides
2020-03-18Interactive HAL IR Walkthroughrecording
2020-01-31End-to-end MLIR Workflow in IREE (MLIR Open Design Meeting)recordingslides

License

IREE is licensed under the terms of the Apache 2.0 License with LLVM Exceptions. See LICENSE for more information.