Computes and stores the average and current value

Implementation of the forward hook to track feature statistics and compute a loss on them. Will compute mean and variance, and will use l2 as

Apply gaussian smoothing on a 1d, 2d or 3d tensor. Filtering is performed seperately for each channel in the input using a depthwise conv

consider citing the benchmarking environment this was built on top of git url: https://github.com/GT-RIPL/Continual-Learning-Benchmark @a

`CIFAR10 <https://www.cs.toronto.edu/~kriz/cifar.html>`_ Dataset. This is a subclass of the iDataset Dataset.

`CIFAR100 <https://www.cs.toronto.edu/~kriz/cifar.html>`_ Dataset. This is a subclass of the iCIFAR10 Dataset.