50 lines
1.5 KiB
Bash
50 lines
1.5 KiB
Bash
#!/bin/bash
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script_name=`basename "$0"`
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id=${script_name%.*}
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dataset=${dataset:-cifar100}
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seed=${seed:-2}
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gpu=${gpu:-"auto"}
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pool_size=${pool_size:-100}
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space=${space:-s5}
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metric=${metric:-'jacob'}
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edge_decision=${edge_decision:-'random'}
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validate_rounds=${validate_rounds:-100}
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learning_rate=${learning_rate:-0.025}
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while [ $# -gt 0 ]; do
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if [[ $1 == *"--"* ]]; then
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param="${1/--/}"
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declare $param="$2"
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# echo $1 $2 // Optional to see the parameter:value result
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fi
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shift
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done
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echo 'id:' $id 'seed:' $seed 'dataset:' $dataset 'space:' $space
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echo 'proj crit:' $metric
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echo 'gpu:' $gpu
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cd ../sota/cnn
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python3 networks_proposal.py \
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--search_space $space --dataset $dataset --batch_size 64 \
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--seed $seed --save $id --gpu $gpu \
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--edge_decision $edge_decision \
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--proj_crit_normal $metric --proj_crit_reduce $metric --proj_crit_edge $metric \
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--pool_size $pool_size\
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cd ../zerocostnas/
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python3 post_validate.py\
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--ckpt_path ../experiments/sota/$dataset-search-$id-$space-$seed-$pool_size-$metric\
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--save $id --seed $seed --gpu $gpu\
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--edge_decision $edge_decision --proj_crit $metric \
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--batch_size 64\
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--validate_rounds $validate_rounds\
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cd ../sota/cnn
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python3 train.py \
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--seed $seed --gpu $gpu --save $id\
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--arch ../../experiments/sota/$space-valid-$id-$seed-$pool_size-$validate_rounds-$dataset-$metric\
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--dataset $dataset \
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--auxiliary --cutout \
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--batch_size 96 --learning_rate $learning_rate \
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--init_channels 16 --layers 20 \
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--from_dir\ |