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feat: Add functionality to FX benchmarking + Improve documentation #1529

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merged 2 commits into from
Dec 13, 2022

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gs-olive
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@gs-olive gs-olive commented Dec 5, 2022

Description

  • Add support for FX in YAML config specification path of perf_run.py
  • Add support for only specifying one of: a PyTorch or TorchScript model
  • Improve input model validation to throw errors earlier
  • Remove deprecated option from torchvision model
  • Add documentation for FX benchmarking

Type of change

  • New feature (non-breaking change which adds functionality)
  • This change requires a documentation update

Checklist:

  • [ x ] My code follows the style guidelines of this project (You can use the linters)
  • [ x ] I have performed a self-review of my own code
  • [ x ] I have commented my code, particularly in hard-to-understand areas and hacks
  • [ x ] I have made corresponding changes to the documentation
  • [ x ] I have added tests to verify my fix or my feature
  • [ x ] New and existing unit tests pass locally with my changes
  • [ x ] I have added the relevant labels to my PR in so that relevant reviewers are notified

- Add support for FX in YAML config specification path of `perf_run.py`
- Add support for only specifying one of: a PyTorch or TorchScript model
- Improve input model validation to throw errors earlier
- Remove deprecated option from torchvision model
- Update documentation
- Add new backend for only-TorchScript benchmarks
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@peri044 peri044 left a comment

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LGTM

@peri044 peri044 merged commit 6f73a23 into pytorch:master Dec 13, 2022
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3 participants