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

Files

Xuehai Pan 45411d1fc9 Use absolute path path.resolve() -> path.absolute() (#129409 )

Changes:

1. Always explicit `.absolute()`: `Path(__file__)` -> `Path(__file__).absolute()`
2. Replace `path.resolve()` with `path.absolute()` if the code is resolving the PyTorch repo root directory.

Pull Request resolved: https://github.com/pytorch/pytorch/pull/129409
Approved by: https://github.com/albanD

2025-01-03 20:03:40 +00:00

distributed

Use absolute path path.resolve() -> path.absolute() (#129409 )

2025-01-03 20:03:40 +00:00

dynamo

Revert "Set enable_trace_contextlib_contextmanager flag to True (#140604 )"

2025-01-03 18:23:53 +00:00

fastrnns

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

2024-12-11 17:10:23 +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

[BE][CI] bump ruff to 0.8.4 (#143753 )

2024-12-24 12:24:10 +00:00

fuser

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

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

gpt_fast

[GPT-fast] Support run spcific model or micro-benchmark (#143607 )

2024-12-20 19:58:07 +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

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

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

nested

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

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

operator_benchmark

operator benchmark: write output to a JSON (#142809 )

2024-12-14 01:42:00 +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

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

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

static_runtime

Re-enable some C++ warnings (#142332 )

2024-12-12 04:02:12 +00:00

tensorexpr

[BE][CI] bump ruff to 0.8.4 (#143753 )

2024-12-24 12:24:10 +00:00

transformer

Rename cache limit to recompile limit in configs (#143709 )

2024-12-22 10:03:57 +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: