[iree-benchmark-module] support processing outputs after benchmarking (#24789)

Add --enable_output_processing option to iree-benchmark-module to make
it process the outputs of the last benchmark iteration executed. For
example, this processing can be writing the outputs to disk. The output
processing is the same as done by iree-run-module.

In order to achieve this:
- Move output processing from run_module.c into a new process_results.c.
  - Slightly change the benchmark loop in iree-benchmark-module-main.cc:
- Use a output VM list passed by the caller and only create a
local/temporary one if none is passed.
- Move clearing of the output list from the end of the benchmark loop
body to the beginning of the benchmark loop body, so that the results of
the last benchmark iteartion are available at the end of the loop.
- Clear the results/output list after the benchmark loop if a local list
has been used. Otherwise, keep the results in the output list passed by
the caller.

Also change the main function of iree-benchmark-module:
 - Allocate an output list if output processing is enabled.
- Pass the output list (if allocated) to benchmarking loop (for now only
for synachonous execution of modules).
 - Process outputs in the output list at the end (if list is allocated).

---------

Signed-off-by: Stefan Schuermans <schuermans@roofline.ai>
11 files changed
tree: 5def32784199e50bc7f2bf6f936f65a6bd5f96f5
  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. MODULE.bazel
  34. README.md
  35. RELEASING.md
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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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

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