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opensecura / 3p / openxla / iree / 1a0b3fd28eb72558662e191a24d9767a679c8c16
commit1a0b3fd28eb72558662e191a24d9767a679c8c16[log] [tgz]
authorScott Todd <scotttodd@google.com>Tue Aug 08 08:07:57 2023 -0700
committerGitHub <noreply@github.com>Tue Aug 08 08:07:57 2023 -0700
treef4667ff3a5a9de674409411686bf85b1c1112421
parentd5c928301c138df7f63cadf74dfc83b83b5433a9 [diff]
Add error message for InlineExecutables with unsupported variants. (#14593)

Fixes https://github.com/openxla/iree/issues/14587 (cc @dcaballe ).
`--iree-execution-model=inline-static` only works with
`--iree-hal-target-backends=vmvx-inline`. It was crashing when other
backends were used, so this adds a check and error log.

Sample logs:
```
D:\dev\projects\iree (inline-error-message)
λ ..\iree-build\tools\iree-compile.exe -iree-input-type=stablehlo --iree-hal-target-backends=llvm-cpu --iree-hal-target-backends=llvm-cpu --iree-llvmcpu-target-triple=x86_64-unknown-linux-gnu --iree-execution-model=inline-static ./tests/e2e/stablehlo_ops/add.mlir -o ../iree-tmp/add.vmfb
./tests/e2e/stablehlo_ops/add.mlir:0:0: error: InlineStatic execution model is not compatible with hal target 'llvm-cpu'
./tests/e2e/stablehlo_ops/add.mlir:0:0: note: see current operation:
"builtin.module"() ({
...
```
2 files changed
tree: f4667ff3a5a9de674409411686bf85b1c1112421
  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. README.md
  33. 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

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

  • 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.