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3
MobileNetV3/script/download_preprocessed_dataset.sh
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3
MobileNetV3/script/download_preprocessed_dataset.sh
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echo '[Downloading processed]'
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python main_exp/get_files/get_preprocessed_data.py
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python main_exp/get_files/get_preprocessed_score_model_data.py
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MobileNetV3/script/download_raw_dataset.sh
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MobileNetV3/script/download_raw_dataset.sh
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DATANAME=$1
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if [[ $DATANAME = 'aircraft' ]]; then
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echo '[Downloading aircraft]'
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python main_exp/get_files/get_aircraft.py
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elif [[ $DATANAME = 'pets' ]]; then
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echo '[Downloading pets]'
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python main_exp/get_files/get_pets.py
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else
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echo 'Not Implemeted'
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fi
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MobileNetV3/script/tr_meta_surrogate_ofa.sh
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5
MobileNetV3/script/tr_meta_surrogate_ofa.sh
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FOLDER_NAME='tr_meta_surrogate_ofa'
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CUDA_VISIBLE_DEVICES=$1 python main.py --config configs/tr_meta_surrogate_ofa.py \
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--mode train \
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--config.folder_name $FOLDER_NAME
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MobileNetV3/script/tr_scorenet_ofa.sh
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5
MobileNetV3/script/tr_scorenet_ofa.sh
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FOLDER_NAME='tr_scorenet_ofa'
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CUDA_VISIBLE_DEVICES=$1 python main.py --config configs/tr_scorenet_ofa.py \
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--mode train \
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--config.folder_name $FOLDER_NAME
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MobileNetV3/script/transfer_nag.sh
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MobileNetV3/script/transfer_nag.sh
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FOLDER_NAME='transfer_nag_ofa'
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N=30
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GENSAMPLES=5000
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GPU=$1
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DATANAME=$2
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CUDA_VISIBLE_DEVICES=$GPU python main_exp/run_transfer_nag.py \
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--test --data-name $DATANAME --gpu $GPU \
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--folder_name $FOLDER_NAME \
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--nvt 27 --search_space ofa --graph-data-name ofa \
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--epochs 500 --n_gen_samples $GENSAMPLES --classifier_scale 500 \
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--n_training_samples $N
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