# CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_mis_regular.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_focal_1.pkl

# CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_mis_regular.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_l1_00005.pkl

# CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_mis_regular.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_max_entropy_e01.pkl

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_uncertainty_reject.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_focal_1.pkl

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_uncertainty_reject.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_l1_00005.pkl

CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 python -u test_uncertainty_reject.py --num_classes 1000 --dataset imagenet --num_classes 1000 --model_path ./checkpoint1/resnet34_deep_ens1_imagenet_clip32_max_entropy_e01.pkl

