is_mixup=true | |
batch_size=1024 #128/gpu works | |
lr_w=0.2 #0.2 | |
lr_b=0.0048 #0.0048 | |
lambda_mixup=1.0 | |
timestamp=$(date +"%Y%m%d%H%M%S") | |
session_name="python_session_$timestamp" | |
echo ${session_name} | |
screen -dmS "$session_name" | |
screen -S "$session_name" -X stuff "conda activate ssl-aug^M" | |
screen -S "$session_name" -X stuff "NCCL_P2P_DISABLE=1 CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python main_imagenet.py /data/wbandar1/datasets/imagenet1k/ --is_mixup ${is_mixup} --batch-size ${batch_size} --learning-rate-weights ${lr_w} --learning-rate-biases ${lr_b} --lambda_mixup ${lambda_mixup}^M" | |
screen -S "$session_name" -X detachs |