Source code for imaginaire.losses.kl

# Copyright (C) 2021 NVIDIA CORPORATION & AFFILIATES.  All rights reserved.
# This work is made available under the Nvidia Source Code License-NC.
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import torch
import torch.nn as nn
[docs]class GaussianKLLoss(nn.Module): r"""Compute KL loss in VAE for Gaussian distributions""" def __init__(self): super(GaussianKLLoss, self).__init__()
[docs] def forward(self, mu, logvar=None): r"""Compute loss Args: mu (tensor): mean logvar (tensor): logarithm of variance """ if logvar is None: logvar = torch.zeros_like(mu) return -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())