Train CIFAR10 with PyTorch

I'm playing with PyTorch on the CIFAR10 dataset.

Pros:

• Built-in data loading and augmentation, very nice!
• Training is fast, maybe even a little bit faster.
• Very memory efficient!

Cons:

• No progress bar, sad :(
• No built-in log.

Accuracy:

• VGG16: 92.64%
• ResNet18: 93.02%
• ResNet50: 93.62%
• ResNet101: 93.75%
• DenseNet121: 95.04%