relu6#

ivy.relu6(x, /, *, complex_mode='jax', out=None)[source]#

Apply the rectified linear unit 6 function element-wise.

Parameters:

x (Union[Array, NativeArray]) – input array
complex_mode (Literal['split', 'magnitude', 'jax'], default: 'jax') – optional specifier for how to handle complex data types. See ivy.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

Returns:

ret – an array containing the rectified linear unit 6 activation of each element in x.

Examples

With ivy.Array input:

>>> x = ivy.array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.])
>>> y = ivy.relu6(x)
>>> print(y)
ivy.array([0., 0., 1., 2., 3., 4., 5., 6., 6.])

>>> x = ivy.array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.])
>>> y = ivy.zeros(9)
>>> ivy.relu6(x, out = y)
>>> print(y)
ivy.array([0., 0., 1., 2., 3., 4., 5., 6., 6.])

Array.relu6(self, /, *, complex_mode='jax', out=None)[source]#

Apply the rectified linear unit 6 function element-wise.

Parameters:

self – input array
complex_mode (Literal['split', 'magnitude', 'jax'], default: 'jax') – optional specifier for how to handle complex data types. See ivy.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

Returns:

ret – an array containing the rectified linear unit 6 activation of each element in input.

Examples

With ivy.Array input:

>>> x = ivy.array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.])
>>> y = ivy.relu6(x)
>>> print(y)
ivy.array([0., 0., 1., 2., 3., 4., 5., 6., 6.])

>>> x = ivy.array([-1.,  0.,  1.,  2.,  3.,  4.,  5.,  6.,  7.])
>>> y = ivy.zeros(9)
>>> ivy.relu6(x, out = y)
>>> print(y)
ivy.array([0., 0., 1., 2., 3., 4., 5., 6., 6.])

Container.relu6(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.relu6. This method simply wraps the function, and so the docstring for ivy.relu6 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.
complex_mode (Literal['split', 'magnitude', 'jax'], default: 'jax') – optional specifier for how to handle complex data types. See ivy.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 6 activation unit function applied element-wise.

Examples

>>> x = ivy.Container(a = ivy.array([-3., -2., -1., 0., 1., 2., 3., 4., 5.]),
...                   b= ivy.array([1., 2., 3., 4., 5., 6., 7., 8., 9.]))
>>> y = x.relu()
>>> print(y)
{
    a: ivy.array([0., 0., 0., 0., 1., 2., 3., 4., 5.]),
    b: ivy.array([1., 2., 3., 4., 5., 6., 7., 8., 9.])
}