mish#
- ivy.mish(x, /, *, complex_mode='jax', out=None)[source]#
Apply the mish activation function element-wise.
- Parameters:
x (
Union
[Array
,NativeArray
]) – input arraycomplex_mode (
Literal
['split'
,'magnitude'
,'jax'
], default:'jax'
) – optional specifier for how to handle complex data types. Seeivy.func_wrapper.handle_complex_input
for more detail.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:
- Returns:
ret – an array containing the mish activation of each element in
x
.
Examples
With
ivy.Array
input:>>> x = ivy.array([-1., 0., 1.]) >>> y = ivy.mish(x) >>> print(y) ivy.array([-0.30340147, 0. , 0.86509842])
>>> x = ivy.array([1.5, 0.7, -2.4]) >>> y = ivy.zeros(3) >>> ivy.mish(x, out = y) >>> print(y) ivy.array([ 1.40337825, 0.56114835, -0.20788449])
With
ivy.Container
input:>>> x = ivy.Container(a=ivy.array([1.0, -1.2]), b=ivy.array([0.4, -0.2])) >>> x = ivy.mish(x) >>> print(x) { a: ivy.array([0.86509842, -0.30883577]), b: ivy.array([0.28903052, -0.10714479]) }
- Array.mish(self, /, *, complex_mode='jax', out=None)[source]#
ivy.Array instance method variant of ivy.mish. This method simply wraps the function, and so the docstring for ivy.mish also applies to this method with minimal changes.
- Parameters:
self (
Array
) – input array.complex_mode (
Literal
['split'
,'magnitude'
,'jax'
], default:'jax'
) – optional specifier for how to handle complex data types. Seeivy.func_wrapper.handle_complex_input
for more detail.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.mish() >>> print(y) ivy.array([-0.30340147, 0. , 0.86509842])
- Container.mish(self, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, complex_mode='jax', out=None)[source]#
ivy.Container instance method variant of ivy.mish. This method simply wraps the function, and so the docstring for ivy.mish 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 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
.complex_mode (
Literal
['split'
,'magnitude'
,'jax'
], default:'jax'
) – optional specifier for how to handle complex data types. Seeivy.func_wrapper.handle_complex_input
for more detail.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.mish() >>> print(y) { a: ivy.array([0.86509842, -0.30883577]), b: ivy.array([0.28903052, -0.10714479]) }