RAGAN Loss

Adapted from https://arxiv.org/abs/1807.00734​
Source: /losses/ragan_loss.py​
# wasserstein type
cr = torch.mean(d_real,0)
cf = torch.mean(d_fake,0)
d_loss = -(d_real-cf) + (d_fake-cr)
g_loss = -(d_fake-cr)
examples
Configurations: /losses/ragan_loss/​
{
  "class": "function:hypergan.losses.ragan_loss.RaganLoss",
  "type": "hinge"
}
options
attribute
description
type
type
least_squares,hinge,wasserstein or standard.  Defaults to standard
string (optional)
rgan
rgan does not average over batch.  Defaults to false
boolean (optional)
labels
[a,b,c].  Defaults to [-1,1,1].  Only used in least_squares type
array of floats (optional)

QP Loss

Realness Loss

Last modified 2yr ago

attribute	description	type
type	`least_squares`,`hinge`,`wasserstein` or `standard`. Defaults to `standard`	string (optional)
rgan	rgan does not average over batch. Defaults to `false`	boolean (optional)
labels	[a,b,c]. Defaults to `[-1,1,1]`. Only used in `least_squares` type	array of floats (optional)