52 lines
1.5 KiB
Bash
52 lines
1.5 KiB
Bash
#!/bin/bash
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# bash ./scripts/tas-infer-train.sh cifar10 C100-ResNet32 -1
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set -e
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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 " $#
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echo "Need 3 parameters for the dataset and the-config-name and the-random-seed"
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exit 1
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fi
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if [ "$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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model=$2
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rseed=$3
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batch=256
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save_dir=./output/search-shape/TAS-INFER-${dataset}-${model}
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python --version
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# normal training
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xsave_dir=${save_dir}-NMT
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OMP_NUM_THREADS=4 python ./exps/basic-main.py --dataset ${dataset} \
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--data_path $TORCH_HOME/cifar.python \
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--model_config ./configs/NeurIPS-2019/${model}.config \
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--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \
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--procedure basic \
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--save_dir ${xsave_dir} \
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--cutout_length -1 \
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--batch_size 256 --rand_seed ${rseed} --workers 6 \
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--eval_frequency 1 --print_freq 100 --print_freq_eval 200
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# KD training
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xsave_dir=${save_dir}-KDT
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OMP_NUM_THREADS=4 python ./exps/KD-main.py --dataset ${dataset} \
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--data_path $TORCH_HOME/cifar.python \
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--model_config ./configs/NeurIPS-2019/${model}.config \
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--optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \
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--KD_checkpoint ./.latent-data/basemodels/${dataset}/${model}.pth \
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--procedure Simple-KD \
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--save_dir ${xsave_dir} \
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--KD_alpha 0.9 --KD_temperature 4 \
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--cutout_length -1 \
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--batch_size 256 --rand_seed ${rseed} --workers 6 \
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--eval_frequency 1 --print_freq 100 --print_freq_eval 200
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