ssh user@8.131.252.85 -p 35789
Pengslab1404~

conda create -n DFFT python=3.7
conda activate DFFT
conda deactivate

python                    3.7.11
pytorch                   1.10.2          py3.7_cuda11.3_cudnn8.2.0_0    pytorch
mmcv-full==1.4.0

tmux attach -t 2


CUDA_VISIBLE_DEVICES=1,2,4,5,7,8 ./tools/dist_train.sh configs/dfft/dfft.py 6 --cfg-options model.pretrained=DFFT_medium_pretrained.pth
CUDA_VISIBLE_DEVICES=0,1,2,3,4,5 nohup ./tools/dist_train.sh configs/dfft/dfft.py 6 --cfg-options model.pretrained=DFFT_medium_pretrained.pth > DFFT_SAE0.log 2>&1 &

CUDA_VISIBLE_DEVICES=2,3,4,5,6,7 ./tools/dist_train.sh configs/dfft/dfft.py 6 --cfg-options model.pretrained=DFFT_medium_pretrained.pth > SAE_original.txt

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 ./tools/dist_train.sh configs/dfft/dfft.py 8 --cfg-options model.pretrained=DFFT_medium_pretrained.pth

# train w/o pretrain
CUDA_VISIBLE_DEVICES=0,1 ./tools/dist_train.sh configs/dfft/dfft.py 2

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6 ./tools/dist_train.sh configs/dfft/dfft.py 7 > swin-dfftnanob_orig.log
