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nll.sh
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nll.sh
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#!/bin/bash
export CUDA_VISIBLE_DEVICES=0
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset cifar10 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=1
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset cifar10 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=2
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset cifar100 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=3
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset cifar100 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=4
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset c2 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=5
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset c2 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=6
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset stl10 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=7
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.01 \
--dataset stl10 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=0
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset cifar10 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=1
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset cifar10 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=2
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset cifar100 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=3
python3 main_nll.py --batch_size 256 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset cifar100 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=4
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset c2 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=5
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset c2 \
--model densenet121 &
export CUDA_VISIBLE_DEVICES=6
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset stl10 \
--model resnet20 &
export CUDA_VISIBLE_DEVICES=7
python3 main_nll.py --batch_size 128 \
--learning_rate 0.8 \
--cosine \
--imratio 0.1 \
--dataset stl10 \
--model densenet121 &