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update codes

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D-X-Y
2019-02-01 17:17:02 +11:00
parent ea4d245a0e
commit 47327dc5a2
4 changed files with 12 additions and 10 deletions
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1
README.md
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@@ -16,6 +16,7 @@ conda install pytorch torchvision cuda100 -c pytorch
Searching CNNs Searching CNNs
``` ```
bash ./scripts-cnn/search.sh 1 base cifar10 bash ./scripts-cnn/search.sh 1 base cifar10
bash ./scripts-cnn/DMS-V-TrainV3.sh 1
bash ./scripts-cnn/search-acc-v2.sh 3 acc2 bash ./scripts-cnn/search-acc-v2.sh 3 acc2
``` ```

4
exps-cnn/GDAS-Search.py
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@@ -219,8 +219,8 @@ def main():
print_log('Finish with training time = {:}'.format( convert_secs2time(total_train_time, True) ), log) print_log('Finish with training time = {:}'.format( convert_secs2time(total_train_time, True) ), log)
# clear GPU cache # clear GPU cache
torch.cuda.empty_cache() #torch.cuda.empty_cache()
main_procedure(config, args.dataset, args.data_path, args, basemodel.genotype(), 36, 20, log) #main_procedure(config, args.dataset, args.data_path, args, basemodel.genotype(), 36, 20, log)
log.close() log.close()

13
TEMP/DMS-V-TrainV3.sh → scripts-cnn/DMS-V-TrainV3.sh
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@@ -1,7 +1,8 @@
#!/usr/bin/env sh #!/usr/bin/env sh
if [ "$#" -ne 2 ] ;then # bash scripts-cnn/DMS-V-TrainV3.sh 1
if [ "$#" -ne 1 ] ;then
echo "Input illegal number of parameters " $# echo "Input illegal number of parameters " $#
echo "Need 2 parameters for the GPUs and the epochs" echo "Need 1 parameters for the GPUs and the epochs"
exit 1 exit 1
fi fi
if [ "$TORCH_HOME" = "" ]; then if [ "$TORCH_HOME" = "" ]; then
@@ -15,10 +16,10 @@ gpus=$1
arch=acc2 arch=acc2
cutout=0 cutout=0
dataset=cifar10 dataset=cifar10
epoch=$2 epoch=200
SAVED=./snapshots/NAS/ACC-V3-Search-${arch}-${dataset}-cut${cutout}-${epoch}-E600 SAVED=./snapshots/NAS/ACC-V3-Search-${arch}-${dataset}-cut${cutout}-${epoch}-E600
CUDA_VISIBLE_DEVICES=${gpus} python ./exps-nas/acc_search_v3.py \ CUDA_VISIBLE_DEVICES=${gpus} python ./exps-cnn/GDAS-Search.py \
--data_path $TORCH_HOME/cifar.python \ --data_path $TORCH_HOME/cifar.python \
--arch ${arch} --dataset ${dataset} --batch_size 128 \ --arch ${arch} --dataset ${dataset} --batch_size 128 \
--save_path ${SAVED} \ --save_path ${SAVED} \
@@ -26,5 +27,5 @@ CUDA_VISIBLE_DEVICES=${gpus} python ./exps-nas/acc_search_v3.py \
--epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \ --epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \
--init_channels 16 --layers 8 \ --init_channels 16 --layers 8 \
--tau_max 10 --tau_min 1 \ --tau_max 10 --tau_min 1 \
--model_config ./configs/nas-cifar-cos.config \ --model_config ./configs/nas-cifar-cos-cut.config \
--print_freq 100 --workers 8 --print_freq 100 --workers 10

4
scripts-cnn/search-acc-v2.sh
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@@ -18,12 +18,12 @@ dataset=cifar10
epoch=200 epoch=200
SAVED=./snapshots/NAS/ACC-V2-Search-${arch}-${dataset}-cut${cutout}-${epoch}-E600 SAVED=./snapshots/NAS/ACC-V2-Search-${arch}-${dataset}-cut${cutout}-${epoch}-E600
CUDA_VISIBLE_DEVICES=${gpus} python ./exps-cnn/DARTS-Search.py \ CUDA_VISIBLE_DEVICES=${gpus} python ./exps-cnn/GDAS-Search.py \
--data_path $TORCH_HOME/cifar.python \ --data_path $TORCH_HOME/cifar.python \
--arch ${arch} --dataset ${dataset} --batch_size 128 \ --arch ${arch} --dataset ${dataset} --batch_size 128 \
--save_path ${SAVED} \ --save_path ${SAVED} \
--learning_rate_max 0.025 --learning_rate_min 0.001 --momentum 0.9 --weight_decay 0.0003 \ --learning_rate_max 0.025 --learning_rate_min 0.001 --momentum 0.9 --weight_decay 0.0003 \
--epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \ --epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \
--init_channels 16 --layers 8 \ --init_channels 16 --layers 8 \
--model_config ./configs/nas-cifar-cos.config \ --model_config ./configs/nas-cifar-cos-cut.config \
--print_freq 100 --workers 10 --print_freq 100 --workers 10