diff --git a/README.md b/README.md
index 1f3f2a9..4c0d7e2 100644
--- a/README.md
+++ b/README.md
@@ -16,6 +16,7 @@ conda install pytorch torchvision cuda100 -c pytorch
 Searching CNNs
 ```
 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
 ```
 
diff --git a/exps-cnn/GDAS-Search.py b/exps-cnn/GDAS-Search.py
index 97efb33..3df324a 100644
--- a/exps-cnn/GDAS-Search.py
+++ b/exps-cnn/GDAS-Search.py
@@ -219,8 +219,8 @@ def main():
   print_log('Finish with training time = {:}'.format( convert_secs2time(total_train_time, True) ), log)
 
   # clear GPU cache
-  torch.cuda.empty_cache()
-  main_procedure(config, args.dataset, args.data_path, args, basemodel.genotype(), 36, 20, log)
+  #torch.cuda.empty_cache()
+  #main_procedure(config, args.dataset, args.data_path, args, basemodel.genotype(), 36, 20, log)
   log.close()
 
 
diff --git a/TEMP/DMS-V-TrainV3.sh b/scripts-cnn/DMS-V-TrainV3.sh
similarity index 72%
rename from TEMP/DMS-V-TrainV3.sh
rename to scripts-cnn/DMS-V-TrainV3.sh
index 5107c10..1fe6ddd 100644
--- a/TEMP/DMS-V-TrainV3.sh
+++ b/scripts-cnn/DMS-V-TrainV3.sh
@@ -1,7 +1,8 @@
 #!/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 " $#
-  echo "Need 2 parameters for the GPUs and the epochs"
+  echo "Need 1 parameters for the GPUs and the epochs"
   exit 1               
 fi 
 if [ "$TORCH_HOME" = "" ]; then
@@ -15,10 +16,10 @@ gpus=$1
 arch=acc2
 cutout=0
 dataset=cifar10
-epoch=$2
+epoch=200
 SAVED=./snapshots/NAS/ACC-V3-Search-${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 \
 	--arch ${arch} --dataset ${dataset} --batch_size 128 \
 	--save_path ${SAVED} \
@@ -26,5 +27,5 @@ CUDA_VISIBLE_DEVICES=${gpus} python ./exps-nas/acc_search_v3.py \
 	--epochs ${epoch} --cutout ${cutout} --validate --grad_clip 5 \
 	--init_channels 16 --layers 8 \
 	--tau_max 10 --tau_min 1 \
-	--model_config ./configs/nas-cifar-cos.config \
-	--print_freq 100 --workers 8
+	--model_config ./configs/nas-cifar-cos-cut.config \
+	--print_freq 100 --workers 10
diff --git a/scripts-cnn/search-acc-v2.sh b/scripts-cnn/search-acc-v2.sh
index d865f86..9438f5c 100644
--- a/scripts-cnn/search-acc-v2.sh
+++ b/scripts-cnn/search-acc-v2.sh
@@ -18,12 +18,12 @@ dataset=cifar10
 epoch=200
 SAVED=./snapshots/NAS/ACC-V2-Search-${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 \
 	--arch ${arch} --dataset ${dataset} --batch_size 128 \
 	--save_path ${SAVED} \
 	--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 \
 	--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