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Mike Iovine 2ca66ffb7d [SR] Force split_and_squeeze usage via graph transformation (#74274) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/74274

Reviewed By: navahgar

Differential Revision: D34913889

fbshipit-source-id: 655d3f1e5f4c027cb94758b74826a4b4882e9458
(cherry picked from commit bc94d30b69888ca6633a27090a3b87a08919231a)
2022-03-29 19:13:40 +00:00
..
cpp Nvfuser code bump 2_1_2022 (#72127) 2022-02-15 00:43:16 +00:00
distributed Remove .data from benchmarks and tensorboard (#65389) 2021-09-22 11:16:59 -07:00
fastrnns Clean up profiling mode and profiling executor strategy (#73875) 2022-03-29 18:38:51 +00:00
framework_overhead_benchmark Remove py2 compatible future imports (#44735) 2020-09-16 12:55:57 -07:00
functional_autograd_benchmark Extend autograd functional benchmarking to run vectorized tasks (#67045) 2021-12-21 17:20:29 -08:00
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 Fix Undefined variable in QInterpolateBenchmark 2022-03-09 00:14:15 +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 Fix D23995953 import. 2020-09-29 19:30:23 -07:00
serialization [JIT] Make new zip serialization for torch save/load significantly (~70%) faster (#38379) 2020-05-29 01:56:18 -07:00
sparse Add CSR (compressed sparse row) layout for sparse tensors (#50937) 2021-04-12 10:09:12 -07:00
static_runtime [SR] Force split_and_squeeze usage via graph transformation (#74274) 2022-03-29 19:13:40 +00:00
tensorexpr Clean up profiling mode and profiling executor strategy (#73875) 2022-03-29 18:38:51 +00:00
compare-fastrnn-results.py Benchmarks: add scripts for FastRNNs results comparison. (#44134) 2020-09-03 13:44:42 -07:00
compare.sh Benchmarks: add scripts for FastRNNs results comparison. (#44134) 2020-09-03 13:44:42 -07:00
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