# {py:mod}`evorl.networks.spectral_norm`

```{py:module} evorl.networks.spectral_norm
```

```{autodoc2-docstring} evorl.networks.spectral_norm
:parser: autodoc2_docstrings_parser
:allowtitles:
```

## Module Contents

### Classes

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`SNDense <evorl.networks.spectral_norm.SNDense>`
  - ```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
````

### Data

````{list-table}
:class: autosummary longtable
:align: left

* - {py:obj}`Array <evorl.networks.spectral_norm.Array>`
  - ```{autodoc2-docstring} evorl.networks.spectral_norm.Array
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
* - {py:obj}`Dtype <evorl.networks.spectral_norm.Dtype>`
  - ```{autodoc2-docstring} evorl.networks.spectral_norm.Dtype
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
* - {py:obj}`Shape <evorl.networks.spectral_norm.Shape>`
  - ```{autodoc2-docstring} evorl.networks.spectral_norm.Shape
    :parser: autodoc2_docstrings_parser
    :summary:
    ```
````

### API

````{py:data} Array
:canonical: evorl.networks.spectral_norm.Array
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.Array
:parser: autodoc2_docstrings_parser
```

````

````{py:data} Dtype
:canonical: evorl.networks.spectral_norm.Dtype
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.Dtype
:parser: autodoc2_docstrings_parser
```

````

`````{py:class} SNDense
:canonical: evorl.networks.spectral_norm.SNDense

Bases: {py:obj}`flax.linen.Module`

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense
:parser: autodoc2_docstrings_parser
```

````{py:attribute} bias_init
:canonical: evorl.networks.spectral_norm.SNDense.bias_init
:type: collections.abc.Callable[[brax.training.types.PRNGKey, evorl.networks.spectral_norm.Shape, evorl.networks.spectral_norm.Dtype], evorl.networks.spectral_norm.Array]
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.bias_init
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} dtype
:canonical: evorl.networks.spectral_norm.SNDense.dtype
:type: typing.Any
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.dtype
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} eps
:canonical: evorl.networks.spectral_norm.SNDense.eps
:type: float
:value: >
   0.0001

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.eps
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} features
:canonical: evorl.networks.spectral_norm.SNDense.features
:type: int
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.features
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} kernel_init
:canonical: evorl.networks.spectral_norm.SNDense.kernel_init
:type: collections.abc.Callable[[brax.training.types.PRNGKey, evorl.networks.spectral_norm.Shape, evorl.networks.spectral_norm.Dtype], evorl.networks.spectral_norm.Array]
:value: >
   'lecun_normal(...)'

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.kernel_init
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} n_steps
:canonical: evorl.networks.spectral_norm.SNDense.n_steps
:type: int
:value: >
   1

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.n_steps
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} precision
:canonical: evorl.networks.spectral_norm.SNDense.precision
:type: typing.Any
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.precision
:parser: autodoc2_docstrings_parser
```

````

````{py:attribute} use_bias
:canonical: evorl.networks.spectral_norm.SNDense.use_bias
:type: bool
:value: >
   True

```{autodoc2-docstring} evorl.networks.spectral_norm.SNDense.use_bias
:parser: autodoc2_docstrings_parser
```

````

`````

````{py:data} Shape
:canonical: evorl.networks.spectral_norm.Shape
:value: >
   None

```{autodoc2-docstring} evorl.networks.spectral_norm.Shape
:parser: autodoc2_docstrings_parser
```

````