# The resnet.py and trainer.py are based on https://github.com/akamaster/pytorch_resnet_cifar10 (under a BSD-2-Clause license).

export CUDA_VISIBLE_DEVICES=5 && python -u trainer.py --arch resnet20 --save-dir save_rstbfgs_resnet20 --optim rstbfgs --epoch 160 --batch-size 128 --lr 0.1 --momentum 0 --period 1000 --damp1 1 --damp2 1 --beta 0.2 --alpha 1 --weight_decay 0.0015 --seed 1 > log_rstbfgs_resnet20 &&  python -u showprec.py

