Class for a PRT (precomputed radiance trasnfer) network. Parameters ---------- W : int The width of the network. D : in

This class is used to combine multiple optimizers into one. This is useful when you have multiple networks that you want to train with di

This class is a wrapper for the torch.optim.lr_scheduler.StepLR class. It allows for multiple optimizers to be passed in and have their learn

This class is a torch.utils.data.Dataset object that loads the data (images) from the dataset. It is used to load the data for training and v

This class implements a neural hash embedder. The "forward" function takes a point cloud as input and outputs a feature vector for each point

This class implements a spherical harmonics embedder.

This is a class that implements a sine function. It is a subclass of the nn.Module class, which is a class that implements a neural network