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9920ae665b
Summary: As discussed with suo , having it in `torch._C.XX` means that it automatically gets added to `torch.XX` which is unfortunate. Making it `torch._C._XX` means that it won't be added to `torch.`. Let me know if that approach to hide it is not good and we can update that. Pull Request resolved: https://github.com/pytorch/pytorch/pull/51690 Reviewed By: gchanan Differential Revision: D26243207 Pulled By: albanD fbshipit-source-id: 3eb91a96635e90a6b98df799e3a732833dd280d5 |
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| .. | ||
| cpp/tensorexpr | ||
| distributed | ||
| fastrnns | ||
| framework_overhead_benchmark | ||
| functional_autograd_benchmark | ||
| operator_benchmark | ||
| overrides_benchmark | ||
| profiler_benchmark | ||
| record_function_benchmark | ||
| serialization | ||
| sparse | ||
| static_runtime | ||
| tensorexpr | ||
| compare-fastrnn-results.py | ||
| compare.sh | ||
| README.md | ||
| upload_scribe.py | ||
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 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