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pytorch/benchmarks
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Ivan Kobzarev 939060925f [nnc] Strides to Tensor (#72962) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/72962

Test Plan: Imported from OSS

Reviewed By: ZolotukhinM, cpuhrsch

Differential Revision: D34589306

Pulled By: IvanKobzarev

fbshipit-source-id: ecee5249760ecc0c8b2edb1842b90218899bc944
(cherry picked from commit 9e310c4c67389da30da89126d838ffe3864aba6f)
2022-04-23 19:35:15 +00:00
..
cpp [nnc] Strides to Tensor (#72962) 2022-04-23 19:35:15 +00:00
distributed Fix some typos. 2022-04-11 21:55:59 +00:00
fastrnns Clean up profiling mode and profiling executor strategy (#73875) 2022-03-29 18:38:51 +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 Allow instruction counting to use shared memory as a staging ground. (And a couple other tweaks.) (#56711) 2021-05-12 20:37:41 -07:00
operator_benchmark [TorchArrow][AIBench] Add AIBench Metrics for TorchArrow Inference Benchmark Test (#75035) 2022-04-01 00:35:42 +00:00
overrides_benchmark Use classmethods for overrides (#64841) 2021-09-17 08:32:49 -07:00
profiler_benchmark
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 [sr] remove max_indices argument of embedding_bag when unncessary (#75993) 2022-04-22 15:36:35 +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