Files
pytorch/benchmarks
mingzhe0908 cb66759600 temp fix for flake8 error (#18788)
Summary:
Fix lint error
Pull Request resolved: https://github.com/pytorch/pytorch/pull/18788

Reviewed By: houseroad

Differential Revision: D14741840

Pulled By: mingzhe09088

fbshipit-source-id: 1fa630e3c6e606e3d78fe8293e5b0e7ea1b78da3
2019-04-02 22:52:52 -07:00
..

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 supercede 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