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#!/bin/bash
bash ./prepare.sh
username=`whoami`
CUDA_VISIBLE_DEVICES=0,1 python main.py --n_GPUs 2 --lr 1e-4 --decay 200-400-600-800 --epoch 1000 --batch_size 16 --n_resblocks 20 --save_models \
--model BETALAMBDANET --scale 1 --patch_size 48 --save BETALAMBDA_DEMOSAIC20_R4 --n_feats 64 --data_train DIV2K --recurrence 4 \
--dir_data="/data/ssd/public/$username/DNDM/dataset" --data_range "1-800/901-942"
# python main.py --model LAMBDANET --n_resblocks 20 --recurrence 1 --save_results --n_GPUs 1 --chop --data_test McM+Kodak24+CBSD68+Urban100 --scale 1 \
# --pre_train ../experiment/LAMBDA_DEMOSAIC20_R1/model/model_best.pt --test_only
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