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opensecura / 3p / openxla / iree / 137e36507aeeefa0aecf12bbd3fbaf2defbfe376
commit137e36507aeeefa0aecf12bbd3fbaf2defbfe376[log] [tgz]
authorQuinn Dawkins <quinn.dawkins@gmail.com>Tue Aug 20 13:23:08 2024 -0400
committerGitHub <noreply@github.com>Tue Aug 20 13:23:08 2024 -0400
treee8fe2c00e2d6ce1da19b0b37c474214d82996732
parent5beb9ad73626beb8fd5d0e769f0923161b76ab27 [diff]
[Codegen][GPU] Add pass to annotate memory spaces on allocations (#18251)

Trying to infer the memory space of an allocation from within the
bufferization alloc callback function is too late. This adds a
rudimentary pass to annotate the memory space in obvious situations
and then disallows all cases of a bufferization allocation without an
already pre-determined memory space (for the LLVMGPUTileAndFuse
pipeline). This gives us correctness guarantees that were somewhat hand
wavy before.

This makes all allocations that aren't marked explicitly as shared (or can
be obviously inferred as shared) as thread local. Any previous lowerings
that violate this invariant is a bug (most likely from a failure to tile
an operation).
13 files changed
tree: e8fe2c00e2d6ce1da19b0b37c474214d82996732
  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.