shwetasalaria / benchmarker Goto Github PK

Benchmarker is a modular framework to automate a set of performance benchmarks, mostly for deep learning.

python3 -m benchmarker --mode=training --framework=chainer --problem=resnet50 --problem_size=32 --batch_size=4

various devices, frameworks und underlying software stacks, network architectures etc.

Clone, install required packages for example by running

git clone --recursive https://github.com/undertherain/benchmarker.git

pip3 install [--user] -r requirements.txt

The original version was developed in 2017 by Aleksandr Drozd. Since then to the project contributed (in alphabetical order)

• Kevin Brown
• Mateusz Bysiek
• Aleksandr Drozd
• Artur Podobas
• Shweta Salaria
• Emil Vatai