update scripts
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							| @@ -15,15 +15,15 @@ conda install pytorch torchvision cuda100 -c pytorch | ||||
|  | ||||
| Train the searched CNN on CIFAR | ||||
| ``` | ||||
| bash ./scripts-cnn/train-cifar.sh 0 GDAS_FG cifar10  cut | ||||
| bash ./scripts-cnn/train-cifar.sh 0 GDAS_F1 cifar10  cut | ||||
| bash ./scripts-cnn/train-cifar.sh 0 GDAS_V1 cifar100 cut | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-cnn/train-cifar.sh GDAS_FG cifar10  cut | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-cnn/train-cifar.sh GDAS_F1 cifar10  cut | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-cnn/train-cifar.sh GDAS_V1 cifar100 cut | ||||
| ``` | ||||
|  | ||||
| Train the searched CNN on ImageNet | ||||
| ``` | ||||
| bash ./scripts-cnn/train-imagenet.sh 0 GDAS_F1 52 14 | ||||
| bash ./scripts-cnn/train-imagenet.sh 0 GDAS_V1 50 14 | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-cnn/train-imagenet.sh GDAS_F1 52 14 | ||||
| CUDA_VISIBLE_DEVICES=0 bash ./scripts-cnn/train-imagenet.sh GDAS_V1 50 14 | ||||
| ``` | ||||
|  | ||||
|  | ||||
|   | ||||
| @@ -7,3 +7,6 @@ bash scripts-cluster/submit.sh yq01-v100-box-idl-2-8 PTB-GDAS 1 "bash ./scripts- | ||||
| ``` | ||||
|  | ||||
| ## CNN | ||||
| ``` | ||||
| bash scripts-cluster/submit.sh yq01-v100-box-idl-2-8 CIFAR10-CUT-GDAS-F1 1 "bash ./scripts-cnn/train-cifar.sh GDAS_F1 cifar10  cut" | ||||
| ``` | ||||
|   | ||||
| @@ -16,6 +16,7 @@ else | ||||
|   exit 1 | ||||
| fi | ||||
| echo "CHECK-DATA-DIR DONE" | ||||
| export TORCH_HOME="./data/data/" | ||||
|  | ||||
|  | ||||
| # config python | ||||
| @@ -27,7 +28,7 @@ echo "JOB-PWD   : " `pwd` | ||||
| echo "JOB-files :  " `ls` | ||||
| echo "JOB-CUDA_VISIBLE_DEVICES: " ${CUDA_VISIBLE_DEVICES} | ||||
|  | ||||
| echo `./env/bin/python --version` | ||||
| ./env/bin/python --version | ||||
| echo "JOB-TORCH_HOME: "${TORCH_HOME} | ||||
|  | ||||
| # real commands | ||||
| bash ./scripts-rnn/train-WT2.sh GDAS | ||||
|   | ||||
| @@ -3,9 +3,9 @@ | ||||
| #find -name "._*" | xargs rm -rf | ||||
| ODIR=$(pwd) | ||||
| FDIR=$(cd $(dirname $0); pwd) | ||||
| echo "Bash-Dir : "${ODIR} | ||||
| echo "File-Dir : "${FDIR} | ||||
| echo "File-Name: "${0} | ||||
| echo "Bash-Dir  : "${ODIR} | ||||
| echo "File-Dir  : "${FDIR} | ||||
| echo "File-Name : "${0} | ||||
|  | ||||
| if [ "$#" -ne 4 ] ;then | ||||
|   echo "Input illegal number of parameters " $# | ||||
| @@ -22,7 +22,7 @@ TIME=$(date +"%Y-%h-%d--%T") | ||||
| TIME="${TIME//:/-}" | ||||
|  | ||||
| JOB_SCRIPT="${FDIR}/tmps/job-${TIME}.sh" | ||||
| echo "JOB-SCRIPT: " ${JOB_SCRIPT} | ||||
| echo "JOB-SCRIPT: "${JOB_SCRIPT} | ||||
|  | ||||
| cat ${FDIR}/job-script.sh > ${JOB_SCRIPT} | ||||
| echo ${CMD}              >> ${JOB_SCRIPT} | ||||
|   | ||||
| @@ -1,8 +1,8 @@ | ||||
| #!/usr/bin/env sh | ||||
| # bash scripts-cnn/train-cifar.sh 0 GDAS cifar10 cut | ||||
| if [ "$#" -ne 4 ] ;then | ||||
| # bash scripts-cnn/train-cifar.sh GDAS cifar10 cut | ||||
| if [ "$#" -ne 3 ] ;then | ||||
|   echo "Input illegal number of parameters " $# | ||||
|   echo "Need 4 parameters for the GPUs, the architecture, and the dataset-name, and the cutout" | ||||
|   echo "Need 3 parameters for the architecture, and the dataset-name, and the cutout" | ||||
|   exit 1                | ||||
| fi  | ||||
| if [ "$TORCH_HOME" = "" ]; then | ||||
| @@ -12,18 +12,27 @@ else | ||||
|   echo "TORCH_HOME : $TORCH_HOME" | ||||
| fi | ||||
|  | ||||
| gpus=$1 | ||||
| arch=$2 | ||||
| dataset=$3 | ||||
| cutout=$4 | ||||
| SAVED=./snapshots/NAS/${arch}-${dataset}-${cutout}-E600 | ||||
| #--data_path $TORCH_HOME/cifar.python \ | ||||
| arch=$1 | ||||
| dataset=$2 | ||||
| cutout=$3 | ||||
| SAVED=./output/NAS-CNN/${arch}-${dataset}-${cutout}-E600 | ||||
|  | ||||
| CUDA_VISIBLE_DEVICES=${gpus} python ./exps-cnn/train_base.py \ | ||||
| 	--data_path ./data/data/cifar.python \ | ||||
| PY_C="./env/bin/python" | ||||
|  | ||||
| if [ ! -f ${PY_C} ]; then | ||||
|   echo "Local Run with Python: "`which python` | ||||
|   PY_C="python" | ||||
| else | ||||
|   echo "Cluster Run with Python: "${PY_C} | ||||
| fi | ||||
|  | ||||
| ${PY_C} --version | ||||
|  | ||||
| ${PY_C} ./exps-cnn/train_base.py \ | ||||
|         --data_path $TORCH_HOME/cifar.python \ | ||||
| 	--dataset ${dataset} --arch ${arch} \ | ||||
| 	--save_path ${SAVED} \ | ||||
| 	--grad_clip 5 \ | ||||
| 	--init_channels 36 --layers 20 \ | ||||
| 	--model_config ./configs/nas-cifar-cos-${cutout}.config \ | ||||
| 	--print_freq 100 --workers 8 | ||||
| 	--print_freq 100 --workers 6 | ||||
|   | ||||
| @@ -1,7 +1,7 @@ | ||||
| #!/usr/bin/env sh | ||||
| if [ "$#" -ne 4 ] ;then | ||||
| if [ "$#" -ne 3 ] ;then | ||||
|   echo "Input illegal number of parameters " $# | ||||
|   echo "Need 4 parameters for the GPUs, the architecture, and the channel and the layers" | ||||
|   echo "Need 3 parameters for the architecture, and the channel and the layers" | ||||
|   exit 1                | ||||
| fi  | ||||
| if [ "$TORCH_HOME" = "" ]; then | ||||
| @@ -11,14 +11,24 @@ else | ||||
|   echo "TORCH_HOME : $TORCH_HOME" | ||||
| fi | ||||
|  | ||||
| gpus=$1 | ||||
| arch=$2 | ||||
| arch=$1 | ||||
| dataset=imagenet | ||||
| channels=$3 | ||||
| layers=$4 | ||||
| SAVED=./snapshots/NAS/${arch}-${dataset}-C${channels}-L${layers}-E250 | ||||
| channels=$2 | ||||
| layers=$3 | ||||
| SAVED=./output/NAS-CNN/${arch}-${dataset}-C${channels}-L${layers}-E250 | ||||
|  | ||||
| CUDA_VISIBLE_DEVICES=${gpus} python ./exps-cnn/train_base.py \ | ||||
| PY_C="./env/bin/python" | ||||
|  | ||||
| if [ ! -f ${PY_C} ]; then | ||||
|   echo "Local Run with Python: "`which python` | ||||
|   PY_C="python" | ||||
| else | ||||
|   echo "Cluster Run with Python: "${PY_C} | ||||
| fi | ||||
|  | ||||
| ${PY_C} --version | ||||
|  | ||||
| ${PY_C} ./exps-cnn/train_base.py \ | ||||
| 	--data_path $TORCH_HOME/ILSVRC2012 \ | ||||
| 	--dataset ${dataset} --arch ${arch} \ | ||||
| 	--save_path ${SAVED} \ | ||||
|   | ||||
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