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poolsize4.sh
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poolsize4.sh
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#!/usr/bin/env bash
set -e -u -o pipefail
CC_WRAPPER_PATH="CC_wrapper.sh"
source $CC_WRAPPER_PATH
time=6
account=def-chdesa
save_dir=mmwhs_1119_poolingsize4
declare -a StringArray=(
#todo: output layer pooling_size=3
"python main.py seed=10 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.0005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r2_401Ent_305joint_seed1"
"python main.py seed=20 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.0005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r2_401Ent_305joint_seed2"
"python main.py seed=30 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.0005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r2_401Ent_305joint_seed3"
#
"python main.py seed=10 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_407joint_seed1"
"python main.py seed=20 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_407joint_seed2"
"python main.py seed=30 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_407joint_seed3"
"python main.py seed=10 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_405joint_seed1"
"python main.py seed=20 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_405joint_seed2"
"python main.py seed=30 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Deconv_1x1 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] Scheduler.RegScheduler.max_value=0.00005 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/output_r3_401Ent_405joint_seed3"
# todo: Upconv2 layer pooling_size=4
"python main.py seed=10 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.01 Scheduler.ClusterScheduler.max_value=0.000003 Trainer.save_dir=${save_dir}/upconv2_ccr2_503Ent_101joint_seed1"
"python main.py seed=20 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.01 Scheduler.ClusterScheduler.max_value=0.000003 Trainer.save_dir=${save_dir}/upconv2_ccr2_503Ent_101joint_seed2"
"python main.py seed=30 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=2 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.01 Scheduler.ClusterScheduler.max_value=0.000003 Trainer.save_dir=${save_dir}/upconv2_ccr2_503Ent_101joint_seed3"
#
"python main.py seed=10 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/upconv2_ccr3_401Ent_207joint_seed1"
"python main.py seed=20 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/upconv2_ccr3_401Ent_207joint_seed2"
"python main.py seed=30 Optim.lr=0.00001 Data_input.dataset=mmwhs Data.kfold=0 Trainer.name=align_IndividualBN DA.double_bn=True DA.batchsize_indicator=9 DA.statistic=True DA.align_layer.name=Up_conv2 DA.multi_scale=3 DA.pool_size=4 DA.displacement=True DA.displace_scale=[1] DA.align_layer.cc_based=True Scheduler.RegScheduler.max_value=0.007 Scheduler.ClusterScheduler.max_value=0.00001 Trainer.save_dir=${save_dir}/upconv2_ccr3_401Ent_207joint_seed3"
)
for cmd in "${StringArray[@]}"; do
echo ${cmd}
CC_wrapper "${time}" "${account}" "${cmd}" 16
done