# silu#

ivy.silu(x, /, *, out=None)[source]#

Apply the silu function element-wise.

Parameters:
• x (`Union`[`Array`, `NativeArray`]) – input array.

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Returns:

ret – an array containing the silu activation of each element in `x`.

Examples

With `ivy.Array` input:

```>>> x = ivy.array([-1.0, 1.0, 2.0])
>>> y = ivy.silu(x)
>>> print(y)
ivy.array([-0.2689,  0.7310,  1.7615])
```
```>>> x = ivy.array([-1.0, 1.0, 2.0])
>>> y = x.silu()
>>> print(y)
ivy.array([-0.2689,  0.7310,  1.7615])
```
```>>> x = ivy.array([[-1.3, 3.8, 2.1], [1.7, 4.2, -6.6]])
>>> y = ivy.silu(x)
>>> print(y)
ivy.array([[-0.2784,  3.7168,  1.8708], [ 1.4374,  4.1379, -0.0089]])
```
Array.silu(self, /, *, out=None)[source]#

ivy.Array instance method variant of ivy.silu. This method simply wraps the function, and so the docstring for ivy.silu also applies to this method with minimal changes.

Parameters:
• self (`Array`) – input array.

• out (`Optional`[`Array`], default: `None`) – optional output array, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Array`

Examples

```>>> x = ivy.array([-1., 0., 1.])
>>> y = x.silu()
>>> print(y)
ivy.array([-0.26894143,  0.        ,  0.73105854])
```
Container.silu(self, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#

ivy.Container instance method variant of ivy.silu. This method simply wraps the function, and so the docstring for ivy.silu also applies to this method with minimal changes.

Parameters:
• self (`Container`) – input container.

• key_chains (`Optional`[`Union`[`List`[`str`], `Dict`[`str`, `str`], `Container`]], default: `None`) – The key-chains to apply or not apply the method to. Default is `None`.

• to_apply (`Union`[`bool`, `Container`], default: `True`) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default is `True`.

• prune_unapplied (`Union`[`bool`, `Container`], default: `False`) – Whether to prune key_chains for which the function was not applied. Default is `False`.

• map_sequences (`Union`[`bool`, `Container`], default: `False`) – Whether to also map method to sequences (lists, tuples). Default is `False`.

• out (`Optional`[`Container`], default: `None`) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.

Return type:

`Container`

Returns:

ret – a container with the rectified linear activation unit function applied element-wise.

Examples

```>>> x = ivy.Container(a=ivy.array([1.0, -1.2]), b=ivy.array([0.4, -0.2]))
>>> y = x.silu()
>>> print(y)
{
a: ivy.array([0.73105854, -0.27777028]),
b: ivy.array([0.23947507, -0.0900332])
}
```