sigmoid#
- ivy.sigmoid(x, /, *, out=None)[source]#
Apply the sigmoid function element-wise.
- Parameters:
- Return type:
- Returns:
ret – an array containing the sigmoid activation of each element in
x
.
Examples
With
ivy.Array
input:>>> x = ivy.array([-1.0, 1.0, 2.0]) >>> y = ivy.sigmoid(x) >>> print(y) ivy.array([0.269, 0.731, 0.881])
>>> x = ivy.array([-1.0, 1.0, 2.0]) >>> y = x.sigmoid() >>> print(y) ivy.array([0.269, 0.731, 0.881])
>>> x = ivy.array([[-1.3, 3.8, 2.1], [1.7, 4.2, -6.6]]) >>> y = ivy.sigmoid(x) >>> print(y) ivy.array([[0.214, 0.978, 0.891], [0.846,0.985,0.001]] )
- Array.sigmoid(self, /, *, out=None)#
ivy.Array instance method variant of ivy.sigmoid.
This method simply wraps the function, and so the docstring for ivy.sigmoid also applies to this method with minimal changes.
- Parameters:
self (
Array
) – Input arrayout (
Optional
[Array
]) – optional output array for writing the result to. It must have the same shape (default:None
) the input broadcast to default: None
- Return type:
Array
- Returns:
ret – an array with the sigmoid activation function applied element-wise.
Examples
>>> x = ivy.array([-1., 1., 2.]) >>> y = x.sigmoid() >>> print(y) ivy.array([0.269, 0.731, 0.881])
- Container.sigmoid(self, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)#
ivy.Container instance method variant of ivy.sigmoid. This method simply wraps the function, and so the docstring for ivy.sigmoid also applies to this method with minimal changes.
- Parameters:
self (
Container
) – input container.key_chains (
Optional
[Union
[List
[str
],Dict
[str
,str
]]]) – The key-chains to apply or not apply the method to. Default isNone
. (default:None
)to_apply (
bool
) – If True, the method will be applied to key_chains, otherwise key_chains (default:True
) will be skipped. Default isTrue
.prune_unapplied (
bool
) – Whether to prune key_chains for which the function was not applied. (default:False
) Default isFalse
.map_sequences (
bool
) – Whether to also map method to sequences (lists, tuples). (default:False
) Default isFalse
.out (
Optional
[Container
]) – optional output container, for writing the result to. It must have a shape (default:None
) that the inputs broadcast to.
- Return type:
Container
- Returns:
ret – a container with the sigmoid unit function applied element-wise.
Examples
>>> ivy.Container(a=ivy.array([-1., 1., 2.]), b=ivy.array([0.5, 0., -0.1])) >>> y = x.sigmoid() >>> print(y) { a: ivy.array([0.2689414, 0.7310586, 0.88079703]), b: ivy.array([0.62245935, 0.5, 0.4750208]) }