Files
pytorch/benchmarks
Laith Sakka b377c9e365 graph break on tolist if capture_scalar_outputs is false (#163807)
address https://github.com/pytorch/pytorch/issues/163798

its problematic to not graph break because:
1. break current contract.
2. well dynamo trace then we have .item call then if we ever re-trace later in autograd for example we hit a
 failure (We do not know where to graph break at that point)! see the added unit test.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/163807
Approved by: https://github.com/bobrenjc93
2025-09-28 04:02:52 +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: