Requirements
- Python 3.8.0
- PyTorch 1.7.1+cu110
- Torchvision 0.8.2+cu110

Environment
- CPU: Intel(R) Xeon(R) Gold 5222 @ 3.80 GHz
- GPU: NVIDIA GeForce RTX 3090
- CUDA 11.1

How to run?
- Simply execute "auturun.sh".
- Then, the "autorun.sh" executes "run.sh".
- "run.sh" automatically executes main.py with a train mode (default: traing ResNet-32, T=3, epsilon=0.5).
(Cautions: CIFAR datasets will be downloaded at pwd path first)

Guidance
If you want to run the other models or datasets, please carefully command line in "run.sh".
ex.1) If you want to train MobileNetV2, please replace My_ResNet with My_MobileNetV2.
ex.2) If you want to train CIFAR-10, please replace cifar100 with cifar10.