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Yanbo Liang a174c536f8 GPT-fast benchmark: adding memory bandwidth and use A100-40GB as target (#125881) 
Fixes #ISSUE_NUMBER

Pull Request resolved: https://github.com/pytorch/pytorch/pull/125881
Approved by: https://github.com/Chillee
2024-05-11 10:46:54 +00:00
..
distributed [BE]: Update ruff to 0.4.1 (#124549) 2024-04-21 14:06:23 +00:00
dynamo Add --warm-start-latency to benchmark harness (#125353) 2024-05-09 21:12:15 +00:00
fastrnns Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
framework_overhead_benchmark [BE]: Enable F821 and fix bugs (#116579) 2024-01-01 08:40:46 +00:00
functional_autograd_benchmark [BE]: Enable F821 and fix bugs (#116579) 2024-01-01 08:40:46 +00:00
fuser Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
gpt_fast GPT-fast benchmark: adding memory bandwidth and use A100-40GB as target (#125881) 2024-05-11 10:46:54 +00:00
inference Allow more backend worker threads with each using a separate cuda stream (#116190) 2023-12-20 22:08:29 +00:00
instruction_counts Use strict to toggle strict options in MYPYSTRICT (#118479) 2024-01-28 19:22:22 +00:00
nested Apply UFMT to all files in benchmarks/ (#105928) 2023-07-26 01:18:48 +00:00
operator_benchmark [BE]: FURB142 - Remove set mutations. Use set update (#124551) 2024-04-21 14:12:33 +00:00
overrides_benchmark [BE]: Update ruff to 0.285 (#107519) 2023-08-22 23:16:38 +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 [BE]: Enable F821 and fix bugs (#116579) 2024-01-01 08:40:46 +00:00
static_runtime Fix layer norm in static runtime when input is non-contiguous (#124789) 2024-04-24 19:49:36 +00:00
tensorexpr [BE]: TRY002 - Ban raising vanilla exceptions (#124570) 2024-04-21 22:26:40 +00:00
transformer [Inductor] default block size for head_dim = 256 for flex attention (#125380) 2024-05-02 22:51:07 +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: