> For the complete documentation index, see [llms.txt](https://hypergan.gitbook.io/hypergan/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hypergan.gitbook.io/hypergan/components/loss/f-divergence-loss.md).

# F Divergence Loss

* From <https://arxiv.org/abs/1606.00709>
* Source: [/losses/f\_divergence\_loss.py](https://github.com/HyperGAN/HyperGAN/tree/pytorch/hypergan/losses/f_divergence_loss.py)
* Configurations: [/losses/f\_divergence\_loss/](https://github.com/HyperGAN/HyperGAN/tree/pytorch/hypergan/configurations/components/losses/f_divergence_loss/)

```javascript
{
  "class": "class:hypergan.losses.f_divergence_loss.FDivergenceLoss",
  "type": "js",
  "g_loss_type": "js",
  "regularizer": "js"
}
```

## options

| attribute     | description                                                                                                                                                             | type              |
| ------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------- |
| type          | supported types `js`,`js_weighted`,`gan`,`reverse_kl`,`pearson`,`jeffrey`,`alpha1`,`alpha2`,`squared_hellinger`,`neyman`,`total_variation`,`alpha1`.  Defaults to `gan` | string (optional) |
| g\_loss\_type | Defaults to type's value                                                                                                                                                | string (optional) |
| regularizer   | Defaults to none.  Same options as type                                                                                                                                 | string (optional) |