#!/bin/bash # bash ./scripts/tas-infer-train.sh cifar10 C100-ResNet32 -1 set -e echo script name: $0 echo $# arguments if [ "$#" -ne 3 ] ;then echo "Input illegal number of parameters " $# echo "Need 3 parameters for the dataset and the-config-name and the-random-seed" exit 1 fi if [ "$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 rseed=$3 batch=256 save_dir=./output/search-shape/TAS-INFER-${dataset}-${model} python --version # normal training xsave_dir=${save_dir}-NMT OMP_NUM_THREADS=4 python ./exps/basic-main.py --dataset ${dataset} \ --data_path $TORCH_HOME/cifar.python \ --model_config ./configs/NeurIPS-2019/${model}.config \ --optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \ --procedure basic \ --save_dir ${xsave_dir} \ --cutout_length -1 \ --batch_size 256 --rand_seed ${rseed} --workers 6 \ --eval_frequency 1 --print_freq 100 --print_freq_eval 200 # KD training xsave_dir=${save_dir}-KDT OMP_NUM_THREADS=4 python ./exps/KD-main.py --dataset ${dataset} \ --data_path $TORCH_HOME/cifar.python \ --model_config ./configs/NeurIPS-2019/${model}.config \ --optim_config ./configs/opts/CIFAR-E300-W5-L1-COS.config \ --KD_checkpoint ./.latent-data/basemodels/${dataset}/${model}.pth \ --procedure Simple-KD \ --save_dir ${xsave_dir} \ --KD_alpha 0.9 --KD_temperature 4 \ --cutout_length -1 \ --batch_size 256 --rand_seed ${rseed} --workers 6 \ --eval_frequency 1 --print_freq 100 --print_freq_eval 200