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_inputfor 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.Arrayinput:>>> 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.Containerinput:>>> 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_inputfor 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_inputfor 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]) }