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Laith Sakka d1a45800a3 refresh numbers after accepted less than noise regression (#140029 )

https://github.com/pytorch/pytorch/pull/138363 regressed some benchmarks but less than noise level updating values to avoid flakiness.
<img width="803" alt="Screenshot 2024-11-07 at 10 31 29 AM" src="https://github.com/user-attachments/assets/31326452-a6ad-44b8-b324-25e953355fcf">

PASS: benchmark ('add_loop_eager', 'compile_time_instruction_count') pass, actual result 3073605220 +1.21% is within expected 3037000000 ±1.50%

PASS: benchmark ('add_loop_eager_dynamic', 'compile_time_instruction_count') pass, actual result 5700849667 +1.37% is within expected 5624000000 ±2.50%

Pull Request resolved: https://github.com/pytorch/pytorch/pull/140029
Approved by: https://github.com/bobrenjc93

2024-11-07 22:27:00 +00:00

distributed

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

dynamo

refresh numbers after accepted less than noise regression (#140029 )

2024-11-07 22:27:00 +00:00

fastrnns

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

framework_overhead_benchmark

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

functional_autograd_benchmark

[BE]: Add better optional typing (#138426 )

2024-10-27 14:19:00 +00:00

fuser

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

gpt_fast

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

inference

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

instruction_counts

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

nested

Apply UFMT to all files in benchmarks/ (#105928 )

2023-07-26 01:18:48 +00:00

operator_benchmark

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

overrides_benchmark

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

profiler_benchmark

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

record_function_benchmark

[Caffe2]Remove Caffe2 scripts and benchmarks (#126747 )

2024-06-05 23:46:31 +00:00

serialization

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

sparse

Revert "[sparse] add search for optimal alg_id to torch.compile (#137427 )"

2024-10-24 17:27:06 +00:00

static_runtime

[9/N] Replace c10::optional with std::optional (#130674 )

2024-07-15 00:48:43 +00:00

tensorexpr

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

transformer

[BE] Format .ci/ / .github/ / benchmarks/ / functorch/ / tools/ / torchgen/ with ruff format (#132577 )

2024-10-11 18:30:26 +00:00

compare-fastrnn-results.py

[BE][Easy][3/19] enforce style for empty lines in import segments in benchmarks/ (#129754 )

2024-07-17 14:34:42 +00:00

compare.sh

Benchmarks: add scripts for FastRNNs results comparison. (#44134 )

2020-09-03 13:44:42 -07:00

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: