Add more algorithms
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								scripts/nas-infer-train.sh
									
									
									
									
									
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								scripts/nas-infer-train.sh
									
									
									
									
									
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							| @@ -0,0 +1,50 @@ | ||||
| #!/bin/bash | ||||
| # bash ./scripts/nas-infer-train.sh cifar10 SETN 256 -1 | ||||
| echo script name: $0 | ||||
| echo $# arguments | ||||
| if [ "$#" -ne 4 ] ;then | ||||
|   echo "Input illegal number of parameters " $# | ||||
|   echo "Need 4 parameters for dataset and the-model-name and epochs and LR and the-batch-size and the-random-seed" | ||||
|   exit 1 | ||||
| fi | ||||
| if [ "$TORCH_HOME" = "" ]; then | ||||
|   echo "Must set TORCH_HOME envoriment variable for data dir saving" | ||||
|   exit 1 | ||||
| else | ||||
|   echo "TORCH_HOME : $TORCH_HOME" | ||||
| fi | ||||
|  | ||||
| dataset=$1 | ||||
| model=$2 | ||||
| batch=$3 | ||||
| rseed=$4 | ||||
|  | ||||
| if [ ${dataset} == 'cifar10' ] || [ ${dataset} == 'cifar100' ]; then | ||||
|   xpath=$TORCH_HOME/cifar.python | ||||
|   base=CIFAR | ||||
|   workers=4 | ||||
|   cutout_length=16 | ||||
| elif [ ${dataset} == 'imagenet-1k' ]; then | ||||
|   xpath=$TORCH_HOME/ILSVRC2012 | ||||
|   base=IMAGENET | ||||
|   workers=28 | ||||
|   cutout_length=-1 | ||||
| else | ||||
|   echo 'Unknown dataset: '${dataset} | ||||
| fi | ||||
|  | ||||
| SAVE_ROOT="./output" | ||||
|  | ||||
| save_dir=${SAVE_ROOT}/nas-infer/${dataset}-${model}-${batch} | ||||
|  | ||||
| python --version | ||||
|  | ||||
| python ./exps/basic-main.py --dataset ${dataset} \ | ||||
| 	--data_path ${xpath} --model_source nas \ | ||||
| 	--model_config ./configs/archs/NAS-${base}-${model}.config \ | ||||
| 	--optim_config ./configs/opts/NAS-${base}.config \ | ||||
| 	--procedure    basic \ | ||||
| 	--save_dir     ${save_dir} \ | ||||
| 	--cutout_length ${cutout_length} \ | ||||
| 	--batch_size  ${batch} --rand_seed ${rseed} --workers ${workers} \ | ||||
| 	--eval_frequency 1 --print_freq 500 --print_freq_eval 1000 | ||||
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