mirror of https://github.com/pytorch/pytorch.git synced 2025-10-20 12:54:11 +08:00

Files

Han, Xu bfcdbd0a97 fix wrong accuracy_status when exception. (#165731 )

When I debug `XPU` accruacy issue, I found the script output wrong accuracy_status.
When the `try` block raise an exception, we should process the exception, but not return the `fail_accuracy`.

Before fixing, it returned as `fail_accuracy`:
<img width="1109" height="216" alt="image" src="https://github.com/user-attachments/assets/385c354f-fbf6-48e4-a1be-3e37e987341b" />

After fixing, it returned the exception message:
<img width="1101" height="292" alt="image" src="https://github.com/user-attachments/assets/f18c0e3c-8358-4ec7-a6bb-c2e01b69d27f" />

Pull Request resolved: https://github.com/pytorch/pytorch/pull/165731
Approved by: https://github.com/Stonepia, https://github.com/chuanqi129, https://github.com/Lucaskabela

2025-10-17 16:37:06 +00:00

data

Dataloader benchmark script (#159432 )

2025-08-06 19:05:19 +00:00

distributed

[SymmMem] Tiled reduce (#162243 )

2025-10-08 02:03:04 +00:00

dynamo

fix wrong accuracy_status when exception. (#165731 )

2025-10-17 16:37:06 +00:00

fastrnns

[BE] fix typos in benchmarks/ (#156077 )

2025-06-17 13:12:18 +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

[9/N] Apply ruff UP035 rule (#165515 )

2025-10-17 00:09:51 +00:00

fuser

Fix unused Python variables outside torch/ and test/ (#136359 )

2024-12-11 17:10:23 +00:00

gpt_fast

[9/N] Apply ruff UP035 rule (#165515 )

2025-10-17 00:09:51 +00:00

inductor_backends

[9/N] Apply ruff UP035 rule (#165515 )

2025-10-17 00:09:51 +00:00

inference

[BE] fix typos in benchmarks/ (#156077 )

2025-06-17 13:12:18 +00:00

instruction_counts

Enable ruff rule E721 (#165162 )

2025-10-13 01:48:55 +00:00

nested

Fix unused Python variables outside torch/ and test/ (#136359 )

2024-12-11 17:10:23 +00:00

operator_benchmark

[CI] Add aarch64 operator benchmark (#165585 )

2025-10-17 14:42:14 +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

[build] modernize build-frontend: python setup.py develop/install -> [uv ]pip install --no-build-isolation [-e ]. (#156027 )

2025-07-09 11:24:27 +00:00

static_runtime

[3/N] Use internal linkage in C++ files (#151297 )

2025-05-05 17:48:39 +00:00

tensorexpr

[BE] fix typos in benchmarks/ (#156077 )

2025-06-17 13:12:18 +00:00

transformer

Enable all SIM rules except disabled ones (#164645 )

2025-10-17 07:27:11 +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

[build] modernize build-frontend: python setup.py develop/install -> [uv ]pip install --no-build-isolation [-e ]. (#156027 )

2025-07-09 11:24:27 +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
python -m pip install torch torchvision

# Install the latest pytorch master from source.
# It should supersede the installation from the release binary.
cd $PYTORCH_HOME
python -m pip install --no-build-isolation -v -e .

# 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: