| # $1 gpuid | |
| cd .. | |
| epochs=500 | |
| clsadapt=True | |
| lr=1e-4 | |
| lr_scheduler=Step | |
| factor_num=14 | |
| #test_epoch=best | |
| test_epoch=last | |
| lambda_causal=1 | |
| lambda_re=1 | |
| batchsize=32 | |
| stride=3 | |
| randm=True | |
| randn=True | |
| autoaug=CA_multiple | |
| UniqueExpName=ReProduceMetaCausal | |
| root=/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-digit | |
| svroot=$root/${autoaug}_${factor_num}fa_all_ep${epochs}_lr${lr}_lr_scheduler${lr_scheduler}0.8_bs${batchsize}_lamCa_${lambda_causal}_lamRe_${lambda_re}_cls1_adt2_EW2_100_rm${randm}_rn${randn}_str${stride}_${UniqueExpName} | |
| #python3 main_my_joint_v13_auto.py --gpu $1 --data mnist --epochs $epochs --autoaug $autoaug --lambda_causal ${lambda_causal} --lambda_re ${lambda_re} --lr $lr --lr_scheduler $lr_scheduler --svroot $svroot --clsadapt $clsadapt --factor_num $factor_num --batchsize ${batchsize} --randm ${randm} --randn ${randn} --stride ${stride} | |
| python3 main_test_digit_v13.py --gpu $1 --svroot $svroot --svpath $svroot/${factor_num}factor_${test_epoch}.csv --factor_num $factor_num --epoch $test_epoch \ | |
| --stride ${stride} | |