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Results in https://docs.google.com/spreadsheets/d/1xXOPg9JjEmPx0zc5QBNdyXQq8-K2_r4ybHaiS-q7pZ0/edit?gid=88695043#gid=88695043 Pull Request resolved: https://github.com/pytorch/pytorch/pull/156967 Approved by: https://github.com/huydhn Co-authored-by: Huy Do <huydhn@gmail.com>
PyTorch Benchmarks
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
python -m pip install torch torchvision
# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python -m pip install --no-build-isolation -v -e .
# Check the pytorch installation version
python -c "import torch; print(torch.__version__)"
Benchmark List
Please refer to each subfolder to discover each benchmark suite. Links are provided where descriptions exist: