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Laith Sakka cc09d3a5ba remove float args benchmark (#155674) 
This benchmark very sensitive. removing it for now until we make it better .

<img width="755" alt="Screenshot 2025-06-11 at 12 01 25 AM" src="https://github.com/user-attachments/assets/01a45ae5-2028-42a2-b819-c30d4db3b5d4" />

Pull Request resolved: https://github.com/pytorch/pytorch/pull/155674
Approved by: https://github.com/bdhirsh, https://github.com/bobrenjc93
2025-06-11 20:34:58 +00:00
..
distributed/ddp [BE] Remove outdated RPC benchmark (#146716) 2025-03-29 04:44:36 +00:00
dynamo remove float args benchmark (#155674) 2025-06-11 20:34:58 +00:00
fastrnns [BE]: Enable ruff rule SIM113 (#147290) 2025-02-16 22:41:16 +00:00
framework_overhead_benchmark Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
functional_autograd_benchmark Fix broken URLs (#152237) 2025-04-27 09:56:42 +00:00
fuser Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
gpt_fast [BE][CI] bump ruff to 0.9.2: multiline assert statements (#144546) 2025-02-27 20:46:16 +00:00
inductor_backends [cutlass backend] add teraflops and increase rep for benchmark script (#154944) 2025-06-05 17:20:29 +00:00
inference
instruction_counts [BE][CI] bump ruff to 0.9.2: multiline assert statements (#144546) 2025-02-27 20:46:16 +00:00
nested Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
operator_benchmark add JSON output support for operator benchmark (#154410) 2025-06-03 21:29:24 +00:00
overrides_benchmark
profiler_benchmark Apply TorchFix TOR203 fixes (#143691) 2024-12-23 18:21:03 +00:00
record_function_benchmark
serialization Fix unused Python variables outside torch/ and test/ (#136359) 2024-12-11 17:10:23 +00:00
sparse Clean up conda usage in benchmark scripts (#152552) 2025-04-30 21:27:29 +00:00
static_runtime [3/N] Use internal linkage in C++ files (#151297) 2025-05-05 17:48:39 +00:00
tensorexpr Fix broken URLs (#152237) 2025-04-27 09:56:42 +00:00
transformer Add sparsity (#148513) 2025-03-07 01:47:52 +00:00
compare-fastrnn-results.py
compare.sh
README.md Removing conda references from PyTorch Docs (#152702) 2025-05-20 20:33:28 +00:00
upload_scribe.py Fix broken URLs (#152237) 2025-04-27 09:56:42 +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
pip3 install torch torchvision

# 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: