Convert Tensor to Variable.

Get data loader by name.

Init models with cuda and weights.

Save trained model.

Evaluate classifier for source domain.

Evaluation for target encoder by source classifier on target dataset.

Init LeNet encoder.

Check if dataset is download and in right place.

Download dataset.

Get MNIST dataset loader.

Get USPS dataset loader.

Init random seed.

Load sample images from dataset.

Train classifier for source domain.

Train encoder for target domain.

Get images and target for data loader. Args: index (int): Index Returns: tuple: (image, target) where target

Init USPS dataset.

Init LeNet encoder.

Init discriminator.

Return size of dataset.

Invert normalization, and then convert array into image.

Forward the LeNet.

Forward the LeNet classifier.

Forward the discriminator.

Init weights for layers w.r.t. the original paper.

Use CUDA if it's available.