lambdanet / CAR /code /train-4rec-raft-s-gpu1-nobn-res70.sh
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#!/bin/bash
bash ./prepare.sh
lst=0
for i in {0..3};
do
if nvidia-smi -i $i | grep -q "python"; then
:
else
lst=$i
break
fi
done
CUDA_VISIBLE_DEVICES=$lst python main.py --n_GPUs 1 --batch_size 16 --lr 1e-4 --decay 200-400-600-800 \
--save_models --n_resblocks 70 --model RAFTNETS --scale 10 --patch_size 48 --save RAFTNETS_Q10_nobn_res70 \
--n_feats 64 --data_train DIV2K --recurrence 4 --normalization none --amp \
# --load RAFTNETS_Q10_nobn --resume -1
# CUDA_VISIBLE_DEVICES=$lst python main.py --n_GPUs 1 --lr 1e-4 --batch_size 16 --n_resblocks 20 --save_models \
# --epoch 1000 --decay 200-400-600-800 --model RAFTNETS --scale 50 --patch_size 48 --reset \
# --save RAFTS_N50_R4_nobn --n_feats 64 --data_train DIV2K --recurrence 4 --normalization none