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opensecura / 3p / openxla / iree / 59434263c0dde40d8108d8e12502629164e9ee02
commit59434263c0dde40d8108d8e12502629164e9ee02[log] [tgz]
authorScott Todd <scott.todd0@gmail.com>Mon Jul 15 08:05:54 2024 -0700
committerGitHub <noreply@github.com>Mon Jul 15 08:05:54 2024 -0700
tree1bded94b9fa448d11699c8c1c08da440c463cff9
parent9d6b425c81254d6fc8e18057188c26609320fab4 [diff]
Bump test suite to include punet tests and fix xfail script. (#17897)

Highlights from this update:

*
https://github.com/nod-ai/SHARK-TestSuite/commit/fc9fd6224f8ecf35159c0984c418b2e5c4781e35
Fixing the `update_config_xfails.py` script
*
https://github.com/nod-ai/SHARK-TestSuite/commit/2c0a31242ba977f3f16952090a1de757f5a54f98
(and follow-ups) Adding the [Partitioned UNet
(punet)](https://github.com/nod-ai/sharktank/tree/main/sharktank/sharktank/models/punet)
model to the test suite, using data from
https://huggingface.co/amd-shark/sdxl-quant-models

This also changes the 'models' pytest command to include all output,
even for xfail'd tests. This will let us see the latest compile/run
errors for these programs using the tested flags.

ci-exactly: build_packages,regression_test
4 files changed
tree: 1bded94b9fa448d11699c8c1c08da440c463cff9
  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.