# TODO: setting1
for benchmark in Set5 Set14 B100 Urban100
do
  for sig in 1.2 2.4 3.6
  do
    CUDA_VISIBLE_DEVICES=0 python teacher_test.py --test_only \
                   --dir_data='./datasets' \
                   --n_GPUs=1 \
                   --data_test=$benchmark \
                   --model='teacher' \
                   --scale='4' \
                   --resume=700 \
                   --blur_type='iso_gaussian' \
                   --noise=0.0 \
                   --sig=$sig
  done
done

# TODO: setting2
#theta=(0.0 10.0 30.0 45.0 90.0 120.0 135.0 165.0 180.0)
#lambda_1=(2.0 2.0 3.5 3.5 3.5 4.0 4.0 4.0 4.0)
#lambda_2=(0.5 1.0 1.5 2.0 2.0 1.5 2.0 3.0 4.0)
#for noise in 5.0 10.0
#do
#  for i in {0..8}
#  do
#  CUDA_VISIBLE_DEVICES=0 python teacher_test.py --test_only \
#                 --dir_data='./datasets' \
#                 --n_GPUs=1 \
#                 --data_test='B100' \
#                 --model='teacher' \
#                 --scale='4' \
#                 --resume=700 \
#                 --blur_type='aniso_gaussian' \
#                 --noise=$noise \
#                 --theta=${theta[$i]} \
#                 --lambda_1=${lambda_1[$i]} \
#                 --lambda_2=${lambda_2[$i]}
#  done
#done
