mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 21:14:14 +08:00

Files

Animesh Jain cc96febb97 [dynamo] Mark a vt unspecialized nn module variable source earlier (#154780 )

I am working on providing some skip guard helper functions to allow users to reduce guard overhead. This is a refactor to allow that.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/154780
Approved by: https://github.com/StrongerXi, https://github.com/jansel

2025-06-03 19:19:47 +00:00

distributed/ddp

[BE] Remove outdated RPC benchmark (#146716 )

2025-03-29 04:44:36 +00:00

dynamo

[dynamo] Mark a vt unspecialized nn module variable source earlier (#154780 )

2025-06-03 19:19:47 +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

[Inductor]Cleanup autotune_fallback_to_aten post-deprecation (#154331 )

2025-05-29 20:29:58 +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][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

unbreak fb:operator_benchmark_test (#152049 )

2025-05-15 03:38:48 +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

Apply TorchFix TOR203 fixes (#143691 )

2024-12-23 18:21:03 +00:00

record_function_benchmark

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

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

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

[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

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: