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cl_cnn_scipe.sh
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48 lines (42 loc) · 1.96 KB
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#python3 multi_task_mnfc.py --epoch=25 --load_model=False --learning_rate=0.001
#python3 multi_task_mnfc.py --epoch=25 --load_model=True --learning_rate=0.00001
#python3 multi_task_mnf.py --epoch=25 --load_model=False --learning_rate=0.001
#python3 multi_task_mnf.py --epoch=25 --load_model=True --learning_rate=0.00001
#python3 multi_task_mn.py --epoch=25 --load_model=False --learning_rate=0.001
#python3 multi_task_mn.py --epoch=25 --load_model=True --learning_rate=0.00001
#python3 multi_task_fn.py --epoch=25 --load_model=False --learning_rate=0.001
#python3 multi_task_fn.py --epoch=25 --load_model=True --learning_rate=0.00001
#python3 multi_task_mf.py --epoch=25 --load_model=False --learning_rate=0.001
#python3 multi_task_mf.py --epoch=25 --load_model=True --learning_rate=0.00001
#python3 single_task_cnn.py --epoch=25 --load_model=False --learning_rate=0.001 --multi_task=False --datasets=0
#python3 single_task_cnn.py --epoch=25 --load_model=True --learning_rate=0.00001 --multi_task=False --datasets=0
for i in 0
do
for s in 28
do
for c in 0 1 2 3 4
do
python3 single_task_cnn.py --epoch=25 --load_model=False --learning_rate=0.001 --datasets=$i --imgsize=$s --model=$c
python3 single_task_cnn.py --epoch=25 --load_model=True --learning_rate=0.00001 --datasets=$i --imgsize=$s --model=$c
done
done
done
#for i in 0 1 2
#do
# for s in 28 21 14 7 5
# do
# for c in 0 1 2 3 4
# do
# python3 single_task_cnn.py --epoch=25 --load_model=False --learning_rate=0.001 --datasets=$i --imgsize=$s --model=$c
# python3 single_task_cnn.py --epoch=25 --load_model=True --learning_rate=0.00001 --datasets=$i --imgsize=$s --model=$c
# done
# done
#done
#for n in 1 2 3 4 6
#do
#for ((i=0;i<=2; i=i+1))
#do
#python3 single_task_cnn.py --epoch=25 --load_model=False --learning_rate=0.001 --multi_task=False --datasets=$i --d_component=$n
#python3 single_task_cnn.py --epoch=25 --load_model=True --learning_rate=0.00001 --multi_task=False --datasets=$i --d_component=$n
#done
#done