Files
pytorch/benchmarks
Yuanyuan Chen 8de85896e0 Enable ruff rule E721 (#165162)
`E721` checks for object type comparisons using == and other comparison operators. This is useful because it is recommended to use `is` for type comparisons.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165162
Approved by: https://github.com/Skylion007
2025-10-13 01:48:55 +00:00
..
2025-04-27 09:56:42 +00:00

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: