Files
pytorch/benchmarks
Xu Zhao 82d7a36a27 Added torchao nightly workflow (#128152)
Summary:
Add torchao benchmark workflow, upload the artifacts to GHA.

X-link: https://github.com/pytorch/benchmark/pull/2273

Test Plan:
```
python run_benchmark.py torchao --ci
```

Differential Revision: D58140479

Pulled By: xuzhao9

Pull Request resolved: https://github.com/pytorch/pytorch/pull/128152
Approved by: https://github.com/jerryzh168
2024-06-07 17:52:15 +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
conda install pytorch torchvision -c pytorch

# Install the latest pytorch master from source.
# It should supersede 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. Links are provided where descriptions exist: