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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
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: