elu#
- ivy.elu(x, /, *, alpha=1.0, out=None)[source]#
Apply the elu unit function element-wise.
- Parameters:
- Return type:
- Returns:
ret – The input array with elu applied element-wise.
Examples
With
ivy.Array
input: >>> x = ivy.array([0.39, -0.85]) >>> y = ivy.elu(x) >>> print(y) ivy.array([ 0.38999999, -0.57258511]) >>> x = ivy.array([1.5, 0.7, -2.4]) >>> y = ivy.zeros(3) >>> ivy.elu(x, out=y) >>> print(y) ivy.array([ 1.5, 0.69999999, -0.90928203]) >>> x = ivy.array([[1.1, 2.2, 3.3], … [-4.4, -5.5, -6.6]]) >>> ivy.elu(x, out=x) >>> print(x) ivy.array([[ 1.10000002, 2.20000005, 3.29999995],[-0.98772264, -0.99591321, -0.99863964]])
With
ivy.Container
input: >>> x = ivy.Container(a=ivy.array([0.0, -1.2]), b=ivy.array([0.4, -0.2])) >>> x = ivy.elu(x, out=x) >>> print(x) {a: ivy.array([0., -0.69880581]), b: ivy.array([0.40000001, -0.18126924])
}
- Array.elu(self, /, *, alpha=1.0, out=None)[source]#
Ivy.Array instance method variant of ivy.elu. This method simply wraps the function, and so the docstring for ivy.elu also applies to this method with minimal.
- Parameters:
self – input array.
alpha (
float
, default:1.0
) – scaler for controlling the slope of the function for x <= 0 Default: 1.0out (
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 with the elu activation function applied element-wise.
Examples
>>> x = ivy.array([0.39, -0.85]) >>> y = x.elu() >>> print(y) ivy.array([ 0.39, -0.57])
- Container.elu(self, /, *, alpha=1.0, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)[source]#
ivy.Container instance method variant of ivy.elu. This method simply wraps the function, and so the docstring for ivy.elu also applies to this method with minimal changes.
- Parameters:
self (
Container
) – input container.alpha (
Container
, default:1.0
) – scaler for controlling the slope of the function for x <= 0 Default: 1.0key_chains (
Optional
[Union
[List
[str
],Dict
[str
,str
],Container
]], default:None
) – The key-chains to apply or not apply the method to. Default isNone
.to_apply (
Union
[bool
,Container
], default:True
) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default isTrue
.prune_unapplied (
Union
[bool
,Container
], default:False
) – Whether to prune key_chains for which the function was not applied. Default isFalse
.map_sequences (
Union
[bool
,Container
], default:False
) – Whether to also map method to sequences (lists, tuples). Default isFalse
.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 elu unit function applied element-wise.
Examples
>>> x = ivy.Container(a=ivy.array([0.39, -0.85]), b=ivy.array([1., -0.2])) >>> y = x.elu() >>> print(y) { a: ivy.array([0.38999999, -0.57]), b: ivy.array([1., -0.18]) }