Pytorch implementation for "Content-Aware Convolution for Efficient Deep Neural Networks".
Python>=3.6, PyTorch==1.2.0, torchvision==0.4.0 pyhocon flame
Please follow the guide to install flame.
We consider two benchmark classification datsets, including CIFAR-10 and ImageNet.
CIFAR-10 can be automatically downloaded by torchvision.
ImageNet needs to be manually downloaded (preferably to a SSD) following the instructions here.
Please run the following command in cac
directory:
python train.py -c config/resnet20.hocon -o results/resnet20