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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,16 @@ | ||
| GPUID=$1 | ||
| OUTDIR=outputs/split_CIFAR100_incremental_class | ||
| REPEAT=5 | ||
| mkdir -p $OUTDIR | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer SGD --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.1 --momentum 0.9 --weight_decay 1e-4 --offline_training | tee ${OUTDIR}/Offline_SGD_WideResNet_28_2_cifar.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 --offline_training | tee ${OUTDIR}/Offline_Adam_WideResNet_28_2_cifar.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 | tee ${OUTDIR}/Adam.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer SGD --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.1 | tee ${OUTDIR}/SGD.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adagrad --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.1 | tee ${OUTDIR}/Adagrad.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC --lr 0.001 --reg_coef 2 | tee ${OUTDIR}/EWC.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC_online --lr 0.001 --reg_coef 2 | tee ${OUTDIR}/EWC_online.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name SI --lr 0.001 --reg_coef 0.001 | tee ${OUTDIR}/SI.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name L2 --lr 0.001 --reg_coef 500 | tee ${OUTDIR}/L2.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_1400 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_1400.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_5600 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_4600.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --incremental_class --optimizer Adam --force_out_dim 100 --no_class_remap --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name MAS --lr 0.001 --reg_coef 0.001 |tee ${OUTDIR}/MAS.log |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,16 @@ | ||
| GPUID=$1 | ||
| OUTDIR=outputs/split_CIFAR100_incremental_domain | ||
| REPEAT=5 | ||
| mkdir -p $OUTDIR | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer SGD --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --momentum 0.9 --weight_decay 1e-4 --lr 0.1 --offline_training | tee ${OUTDIR}/Offline_SGD.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 --offline_training | tee ${OUTDIR}/Offline_adam.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 | tee ${OUTDIR}/Adam.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer SGD --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.01 | tee ${OUTDIR}/SGD.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adagrad --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.01 | tee ${OUTDIR}/Adagrad.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC_online --lr 0.001 --reg_coef 20 | tee ${OUTDIR}/EWC_online.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC --lr 0.001 --reg_coef 10 | tee ${OUTDIR}/EWC.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name SI --lr 0.001 --reg_coef 10000 | tee ${OUTDIR}/SI.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name L2 --lr 0.001 --reg_coef 0.0001 | tee ${OUTDIR}/L2.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_1400 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_1400.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_5600 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_5600.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 20 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name MAS --lr 0.001 --reg_coef 1000000 | tee ${OUTDIR}/MAS.log |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,16 @@ | ||
| GPUID=$1 | ||
| OUTDIR=outputs/split_CIFAR100_incremental_task | ||
| REPEAT=5 | ||
| mkdir -p $OUTDIR | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer SGD --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --momentum 0.9 --weight_decay 1e-4 --lr 0.1 --offline_training | tee ${OUTDIR}/Offline_SGD.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 --offline_training | tee ${OUTDIR}/Offline_adam.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.001 | tee ${OUTDIR}/Adam.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer SGD --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.01 | tee ${OUTDIR}/SGD.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adagrad --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --lr 0.01 | tee ${OUTDIR}/Adagrad.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC_online --lr 0.001 --reg_coef 3000 | tee ${OUTDIR}/EWC_online.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name EWC --lr 0.001 --reg_coef 100 | tee ${OUTDIR}/EWC.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name SI --lr 0.001 --reg_coef 2 | tee ${OUTDIR}/SI.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name L2 --lr 0.001 --reg_coef 1 | tee ${OUTDIR}/L2.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_1400 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_1400.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type customization --agent_name Naive_Rehearsal_5600 --lr 0.001 | tee ${OUTDIR}/Naive_Rehearsal_5600.log | ||
| python -u iBatchLearn.py --dataset CIFAR100 --train_aug --gpuid $GPUID --repeat $REPEAT --optimizer Adam --force_out_dim 0 --first_split_size 20 --other_split_size 20 --schedule 80 120 160 --batch_size 128 --model_name WideResNet_28_2_cifar --model_type resnet --agent_type regularization --agent_name MAS --lr 0.001 --reg_coef 10 | tee ${OUTDIR}/MAS.log |