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run_ens_checkI.sh
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run_ens_checkI.sh
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#!/bin/bash
# run_ens_check.sh - low-level
# run_ens_checkI.sh - middle-level
# run_ens_checkII.sh - high-level
split='XXX' # val | novel | XXX to hold it
dat=$4 # miniImagenet | CUB | tieredImageNet
shot=$5 # 1
resize=$1 # 84
degree=$2 # '0'
fli=$3 # 'False'
logf='log'
rm $logf
touch $logf
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform beta --beta 0.5 >> $logf
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform beta --beta 0.75 >> $logf
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform beta --beta 1.0 >> $logf
echo '~~~ log ~~~'
declare -A biases=( ["miniImagenet"]=0.02 ["CUB"]=0.50 ["tieredImageNet"]=0.10)
if [ $shot == 5 ]
then
bias_from=0.02
echo "run 5 shot: bias from "${bias_from}
else
bias_from="${biases[$dat]}"
echo "run 1 shot: bias from "${bias_from}
fi
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform log --bias $bias_from >> $logf
var=$(echo "scale=2;$bias_from*2" |bc)
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform log --bias $var >> $logf
var=$(echo "scale=2;$bias_from*3" |bc)
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform log --bias $var >> $logf
var=$(echo "scale=2;$bias_from*4" |bc)
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform log --bias $var >> $logf
var=$(echo "scale=2;$bias_from*5" |bc)
python pipeline/run.py --dataname $dat --n_ways 5 --n_shot $shot \
--n_queries 15 --n_runs 2000 \
--norm True --method s2m2 --dgr $degree \
--re_size $resize --flip $fli --nv $split --save_dist \
--transform log --bias $var >> $logf
echo ${1}" | "${2}" | "${3}
grep final $logf | cut -f 3 -d ' '