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- hf_Reformer: this one starts failing due to increased graph breaks due to transformers pin bump (#159291). We can likely just bump the expected graph break count. - dla102: this one starts timing out on 8/13 Wed between commit 6e8865f and ee1b041. But based on the PT2 dashboard, this model actually doesn't have compile time or runtime regression. Will try to bump up the timeout and see if it can work. - hf_BigBird: this one has its accuracy status improved since today. Will update hf_BigBird accuracy status. Pull Request resolved: https://github.com/pytorch/pytorch/pull/160932 Approved by: https://github.com/zou3519, https://github.com/huydhn, https://github.com/malfet
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: