Module providing Consciousness Exploration Tools for PyTorch.

Note

This page is a reference documentation. It only explains the class signature, and not how to use it. Please refer to the gallery for the big picture.

class consciousnet.losses.gmvae.VAEGMPLoss(beta=1.0, reduction='entropy')[source]¶

VAEGMP Loss.

__init__(beta=1.0, reduction='entropy')[source]¶

Init class.

Parameters

beta : float, default 1

the weight of KL term regularization.

reduction : str, default ‘entropy’

how to reduce the loss.