| # $1 gpuid | |
| # $2 runid | |
| # base方法 | |
| cd .. | |
| epochs=70 | |
| clsadapt=True | |
| lr=0.01 | |
| factor_num=16 | |
| lr_scheduler=cosine | |
| lambda_causal=1 | |
| lambda_re=1 | |
| batchsize=6 | |
| stride=5 | |
| randm=True | |
| randn=True | |
| autoaug=CA_multiple | |
| network=resnet18 | |
| UniqueExpName=ReProduceMetaCausal | |
| root=/data/work-gcp-europe-west4-a/yuqian_fu/datasets/SingleSourceDG/saved-PACS/ | |
| #data=art_painting | |
| #data=cartoon | |
| #data=photo | |
| data=sketch | |
| svroot=$root/${data}/${autoaug}_${factor_num}fa_v2_ep${epochs}_lr${lr}_${lr_scheduler}_base0.01_bs${batchsize}_lamCa_${lambda_causal}_lamRe${lambda_re}_adt4_cls1_EW2_70_rm${randm}_rn${randn}_str${stride}_${UniqueExpName} | |
| #python3 main_my_joint_v13_auto.py --gpu $1 --data ${data} --epochs $epochs --autoaug $autoaug --lambda_causal ${lambda_causal} --lambda_re ${lambda_re} --lr $lr --svroot $svroot --clsadapt $clsadapt --factor_num $factor_num --lr_scheduler ${lr_scheduler} --batchsize ${batchsize} --network ${network} --randm ${randm} --randn ${randn} --stride ${stride} | |
| test_epoch=best | |
| python3 main_test_pacs_v13.py --gpu $1 --source_domain $data --svroot $svroot --svpath $svroot/${data}_${factor_num}factor_${test_epoch}_test_check.csv --factor_num $factor_num --epoch $test_epoch \ | |
| --network ${network} --stride ${stride} | |