frozenleaves/pytorch
1
0
Fork 0
mirror of https://github.com/pytorch/pytorch.git synced 2025-11-18 17:45:09 +08:00
Code Issues Packages Projects Releases Wiki Activity
Files
c429b1fc5c60a6819b041f1a881ab09735689fbe
pytorch/benchmarks
History
Will Constable 782fc3c72b [DTensor] Add CPU instruction count benchmark for dispatch (#167394) 
Following example from #149932 and doc in
[README.md](benchmarks/dynamo/pr_time_benchmarks/README.md)

cd benchmarks/dynamo/pr_time_benchmarks
`PYTHONPATH=./:../../../ python benchmarks/dtensor.py a`

Currently outputs:

```
collecting instruction count for dtensor_dispatch_detach
instruction count for iteration 0 is 14919468
instruction count for iteration 1 is 136283
instruction count for iteration 2 is 133750
instruction count for iteration 3 is 133757
instruction count for iteration 4 is 133751
```

Pull Request resolved: https://github.com/pytorch/pytorch/pull/167394
Approved by: https://github.com/laithsakka
2025-11-13 06:54:08 +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
[DTensor] Add CPU instruction count benchmark for dispatch (#167394)
2025-11-13 06:54:08 +00:00
fastrnns
Enable PLW0127 in ruff (#165851)
2025-10-21 03:30:57 +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
Enable all PIE rules on ruff (#165814)
2025-10-18 07:36:18 +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
[Pytorch] Extend OSS conversion benchmarks (#167099)
2025-11-10 23:36:57 +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
[BugFix][Refactor] fix several instances which use f = open(...) without a corresponding f.close() (#167423)
2025-11-11 11:27:59 +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
Add Attention ops to CI (#165915)
2025-11-13 05:30:04 +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: