This is the Linux app named ConvNet Burden whose latest release can be downloaded as convnet-burdensourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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ConvNet Burden
DESCRIPTION
convnet-burden is a MATLAB toolbox / script collection estimating computational cost (FLOPs) and memory consumption of various convolutional neural network architectures. It lets users compute approximate burdens (in FLOPs, memory) for standard image classification CNN models (e.g. ResNet, VGG) based on network definitions. The tool helps researchers compare the computational efficiency of architectures or quantify resource needs. Estimation of memory consumption (e.g. feature map sizes, parameter storage). Support for multiple network definitions/architectures. Estimation of memory consumption (e.g. feature map sizes, parameter storage). Estimation of FLOPs (floating point operations) for CNN architectures.
Features
- Estimation of FLOPs (floating point operations) for CNN architectures
- Setup scripts / comparisons across architectures
- Estimation of memory consumption (e.g. feature map sizes, parameter storage)
- Support for multiple network definitions / architectures
- MATLAB code interface (compute_burdens.m)
- Setup scripts / comparisons across architectures
Programming Language
MATLAB
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/convnet-burden.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
