relu#

ivy.relu(x, /, *, out=None)[source]#

Apply the rectified linear unit function element-wise.

Parameters:

  • x (Union[Array, NativeArray]) – input array

  • out (Optional[Array]) – optional output array, for writing the result to. It must have a shape that the (default: None) inputs broadcast to.

Return type:

Array

Returns:

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

Examples

With ivy.Array input:

>>> x = ivy.array([-1., 0., 1.])
>>> y = ivy.relu(x)
>>> print(y)
ivy.array([0., 0., 1.])

>>> x = ivy.array([1.5, 0.7, -2.4])
>>> y = ivy.zeros(3)
>>> ivy.relu(x, out = y)
>>> print(y)
ivy.array([1.5, 0.7, 0.])

With ivy.Container input:

>>> x = ivy.Container(a=ivy.array([1.0, -1.2]), b=ivy.array([0.4, -0.2]))
>>> x = ivy.relu(x, out=x)
>>> print(x)
{
    a: ivy.array([1., 0.]),
    b: ivy.array([0.40000001, 0.])
}
Array.relu(self, /, *, out=None)#

ivy.Array instance method variant of ivy.relu. This method simply wraps the function, and so the docstring for ivy.relu also applies to this method with minimal changes.

Parameters:

  • self (Array) – input array.

  • out (Optional[Array]) – optional output array, for writing the result to. It must have a shape (default: None) that the inputs broadcast to.

Return type:

Array

Returns:

ret – an array with the relu activation function applied element-wise.

Examples

>>> x = ivy.array([-1., 0., 1.])
>>> y = x.relu()
>>> print(y)
ivy.array([0., 0., 1.])
Container.relu(self, /, *, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)#

ivy.Container instance method variant of ivy.relu. This method simply wraps the function, and so the docstring for ivy.relu 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 is None. (default: None)

  • to_apply (bool) – If True, the method will be applied to key_chains, otherwise key_chains (default: True) will be skipped. Default is True.

  • prune_unapplied (bool) – Whether to prune key_chains for which the function was not applied. (default: False) Default is False.

  • map_sequences (bool) – Whether to also map method to sequences (lists, tuples). (default: False) Default is False.

  • 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 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.relu()
>>> print(y)
{
    a: ivy.array([1., 0.]),
    b: ivy.array([0.40000001, 0.])
}