OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-06 12:20:52 +01:00
Code Issues Actions 38 Packages Projects Releases Wiki Activity
e6ec0efaf8
pytorch/benchmarks
History
Edward Z. Yang 0b8fbfe9de automatic_dynamic_shapes is on by default (#106188) 
Signed-off-by: Edward Z. Yang <ezyang@meta.com>

Pull Request resolved: https://github.com/pytorch/pytorch/pull/106188
Approved by: https://github.com/albanD
2023-07-28 13:26:54 +00:00
..
cpp Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
distributed Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
dynamo automatic_dynamic_shapes is on by default (#106188) 2023-07-28 13:26:54 +00:00
fastrnns Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
framework_overhead_benchmark Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
functional_autograd_benchmark Format: fixing multiple string concatenation in single line (#106013) 2023-07-26 18:39:18 +00:00
fuser Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
instruction_counts Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
nested Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
operator_benchmark Format: fixing multiple string concatenation in single line (#106013) 2023-07-26 18:39:18 +00:00
overrides_benchmark Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
profiler_benchmark Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
record_function_benchmark Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
serialization Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
sparse Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
static_runtime fix some typos (#106018) 2023-07-26 18:14:44 +00:00
tensorexpr Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
transformer Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
compare-fastrnn-results.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
compare.sh
README.md Add more child links to benchmark readme (#104627) 2023-07-06 12:11:00 +00:00
upload_scribe.py Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00

README.md

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: