# RAGAN Loss

* Adapted from <https://arxiv.org/abs/1807.00734>
* Source: [/losses/ragan\_loss.py](https://github.com/HyperGAN/HyperGAN/tree/pytorch/hypergan/losses/ragan_loss.py)

```python
# 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/](https://github.com/HyperGAN/HyperGAN/tree/pytorch/hypergan/configurations/components/losses/ragan_loss/)

```javascript
{
  "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) |