This project forked from jack-willturner/characterising-neural-compression
Code for "Characterising Across Stack Optimisations for Deep Convolutional Neural Networks"
License: MIT License
You need to include the weights file (e.g. vgg_plain.txt) file generated from scratchpad/codes/pytorch-cifar/ compile: gcc -O3 VGG16_CPU_cifar.c -lm -fopenmp -o VGG16_CPU_cifar run (example): ./VGG-16_CPU_cifar weights/vgg.txt img/filelist_cf.txt result_cf_conv.txt 1 (only convolutional layers) run (example): ./VGG-16_CPU_cifar weights/vgg.txt img/filelist_cf.txt result_cf.txt (all layers)
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