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Ailing Zhang f096245610 AutoNonVariableTypeMode->InferenceMode in OSS. (#56421) 
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/56421

Test Plan: Imported from OSS

Reviewed By: bertmaher

Differential Revision: D27866609

Pulled By: ailzhang

fbshipit-source-id: 040991a031c5511501b03cfe21a4a636586e120e
2021-04-19 18:07:41 -07:00
..
cpp/tensorexpr
AutoNonVariableTypeMode->InferenceMode in OSS. (#56421)
2021-04-19 18:07:41 -07:00
distributed
Forbid trailing whitespace (#53406)
2021-03-05 17:22:55 -08:00
fastrnns
Add lint for unqualified noqa (#56272)
2021-04-19 13:16:18 -07:00
framework_overhead_benchmark
Remove py2 compatible future imports (#44735)
2020-09-16 12:55:57 -07:00
functional_autograd_benchmark
Fix typo in torchvision_models.py (#53968)
2021-03-15 11:02:06 -07:00
instruction_counts
Collect instruction counts (and wall times) for CI (#55428)
2021-04-14 17:53:13 -07:00
operator_benchmark
Add lint for unqualified noqa (#56272)
2021-04-19 13:16:18 -07:00
overrides_benchmark
Remove legacy constructor calls from pytorch codebase. (#54142)
2021-04-11 15:45:17 -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
[Static runtime] Add optimize_graph_output_memory flag (#55811)
2021-04-14 15:41:18 -07:00
tensorexpr
[NNC] Implementation for aten::cat without conditionals. (#53128)
2021-03-07 22:57:02 -08:00
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
Benchmarks: make fuser and executor configurable from command line. (#44291)
2020-09-09 11:59:35 -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