OSSForks/pytorch
1
0
Fork 0
mirror of https://github.com/zebrajr/pytorch.git synced 2025-12-06 12:20:52 +01:00
Code Issues Actions 38 Packages Projects Releases Wiki Activity
93aef3a010
pytorch/benchmarks
History
Max Podkorytov 7f90606309 [static-runtime] update generator for the modified tests; re-run autogen script (#84437) 
Test Plan: CI

Reviewed By: mikeiovine

Differential Revision: D39183148

Pull Request resolved: https://github.com/pytorch/pytorch/pull/84437
Approved by: https://github.com/mikeiovine
2022-09-06 20:07:56 +00:00
..
cpp [NVFuser] Upstream push 0811 (#83239) 2022-08-25 02:23:22 +00:00
distributed Fix use-dict-literal lint (#83718) 2022-08-24 00:26:46 +00:00
fastrnns [libkineto] Re-enable user-annotations in PyTorch (#75601) 2022-04-26 23:54:22 +00:00
framework_overhead_benchmark
functional_autograd_benchmark Added functorch to functional_autograd_benchmark 2022-04-22 14:04:26 +00:00
fuser Benchmarks for various fusers (#67622) 2021-11-04 18:57:17 -07:00
instruction_counts [lint] upgrade mypy to latest version 2022-05-03 20:51:34 +00:00
operator_benchmark [quant][ao_migration] torch.nn.qat → torch.ao.nn.qat (#78716) 2022-08-25 16:50:38 +00:00
overrides_benchmark Use classmethods for overrides (#64841) 2021-09-17 08:32:49 -07:00
profiler_benchmark Use libkineto in profiler (#46470) 2020-11-25 04:32:16 -08:00
record_function_benchmark
serialization
sparse Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
static_runtime [static-runtime] update generator for the modified tests; re-run autogen script (#84437) 2022-09-06 20:07:56 +00:00
tensorexpr Fix some typos. 2022-04-11 21:55:59 +00:00
compare-fastrnn-results.py
compare.sh
README.md Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
upload_scribe.py Fix benchmark's import module and remove its usage of tools.stats.scribe (#61808) 2021-07-19 09:45:05 -07:00

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