46 lines
1.4 KiB
Bash
46 lines
1.4 KiB
Bash
#!/bin/bash
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# One-Shot Neural Architecture Search via Self-Evaluated Template Network, ICCV 2019
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# bash ./scripts-search/algos/SETN.sh cifar10 0 -1
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echo script name: $0
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echo $# arguments
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if [ "$#" -ne 3 ] ;then
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echo "Input illegal number of parameters " $#
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echo "Need 3 parameters for dataset, BN-tracking-status, and seed"
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exit 1
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fi
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if [ "$TORCH_HOME" = "" ]; then
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echo "Must set TORCH_HOME envoriment variable for data dir saving"
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exit 1
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else
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echo "TORCH_HOME : $TORCH_HOME"
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fi
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dataset=$1
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BN=$2
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seed=$3
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channel=16
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num_cells=5
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max_nodes=4
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space=nas-bench-201
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if [ "$dataset" == "cifar10" ] || [ "$dataset" == "cifar100" ]; then
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data_path="$TORCH_HOME/cifar.python"
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else
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data_path="$TORCH_HOME/cifar.python/ImageNet16"
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fi
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#benchmark_file=${TORCH_HOME}/NAS-Bench-201-v1_0-e61699.pth
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benchmark_file=${TORCH_HOME}/NAS-Bench-201-v1_1-096897.pth
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save_dir=./output/search-cell-${space}/SETN-${dataset}-BN${BN}
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OMP_NUM_THREADS=4 python ./exps/algos/SETN.py \
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--save_dir ${save_dir} --max_nodes ${max_nodes} --channel ${channel} --num_cells ${num_cells} \
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--dataset ${dataset} --data_path ${data_path} \
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--search_space_name ${space} \
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--arch_nas_dataset ${benchmark_file} \
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--config_path configs/nas-benchmark/algos/SETN.config \
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--track_running_stats ${BN} \
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--arch_learning_rate 0.0003 --arch_weight_decay 0.001 \
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--select_num 100 \
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--workers 4 --print_freq 200 --rand_seed ${seed}
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