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)