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fab1795577
Summary: Move the timing utils to `torch.utils._benchmark`. I couldn't figure out how to get setuptools to pick it up and put it under `torch` unless it is in the `torch` directory. (And I think it has to be for `setup.py develop` anyway.) I also modified the record function benchmark since `Timer` and `Compare` should always be available now. Pull Request resolved: https://github.com/pytorch/pytorch/pull/41506 Reviewed By: ngimel Differential Revision: D22601460 Pulled By: robieta fbshipit-source-id: 9cea7ff1dcb0bb6922c15b99dd64833d9631c37b |
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| .. | ||
| distributed/ddp | ||
| fastrnns | ||
| framework_overhead_benchmark | ||
| operator_benchmark | ||
| overrides_benchmark | ||
| profiler_benchmark | ||
| record_function_benchmark | ||
| serialization | ||
| tensorexpr | ||
| README.md | ||
PyTorch Benchmarks
NOTE: This folder is currently work in progress.
This folder contains scripts that produce reproducible timings of various PyTorch features.
It also provides mechanisms to compare PyTorch with other frameworks.
Setup environment
Make sure you're on a machine with CUDA, torchvision, and pytorch installed. Install in the following order:
# Install torchvision. It comes with the pytorch stable release binary
conda install pytorch torchvision -c pytorch
# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python setup.py build develop
# Check the pytorch installation version
python -c "import torch; print(torch.__version__)"
Benchmark List
Please refer to each subfolder to discover each benchmark suite