Files
pytorch/benchmarks
Nikita Shulga 6ece527fc5 [CI] Add aarch64 operator benchmark (#165585)
Running on Graviton4
Skip ConvTranspose1d benchmarks if PyTorch is compiled with ACL, due to https://github.com/pytorch/pytorch/issues/165654
Pull Request resolved: https://github.com/pytorch/pytorch/pull/165585
Approved by: https://github.com/huydhn
2025-10-17 14:42:14 +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: