run_me

#!/bin/bash

echo "Evaluating Cifar10 results"
wget https://www.dropbox.com/s/kjxh1oaxkhtpbmw/anytime_cifar_10.pth.tar
python3 main.py --model msdnet -b 64 -j 2 cifar10 --msd-blocks 10 --msd-base 4 \
--msd-step 2 --msd-stepmode even --growth 6-12-24 --gpu 0 --resume \
--evaluate-from anytime_cifar_10.pth.tar
read -p "Press [Enter] key to proceed to Cifar 10 test of MSDNet-GCN with base 2..."

echo "Evaluating Cifar10 results with GCN kernel and base 2"
wget https://www.dropbox.com/s/ifu6efuuhzn9mwi/all_shared_gcn_cifar10_b2_k5_s1.tar
python3 main.py --model msdnet -b 64 -j 2 cifar10 --msd-blocks 10 --msd-base 2 \
--msd-step 1 --msd-stepmode even --growth 6-12-24 --gpu 0  --msd-gcn --msd-gcn-kernel 5 \
--msd-share-weights --msd-all-gcn --resume --evaluate-from all_shared_gcn_cifar10_b2_k5_s1.tar
read -p "Press [Enter] key to proceed to Cifar 10 test of MSDNet-GCN with base 3..."

echo "Evaluating Cifar10 results with GCN kernel and base 3"
wget https://www.dropbox.com/s/6rt2qhfajoq3bte/all_shared_gcn_cifar100_b3_k5_s1.tar
python3 main.py --model msdnet -b 64 -j 2 cifar100 --msd-blocks 10 --msd-base 3 \
--msd-step 1 --msd-stepmode even --growth 6-12-24 --gpu 0 --msd-gcn --msd-gcn-kernel 5 \
--msd-share-weights --msd-all-gcn --resume --evaluate-from all_shared_gcn_cifar100_b3_k5_s1.tar
read -p "Example tests are done! please look at script.sh for more examples for training MSDNet-GCN."