Softsign¶

class paddle.nn. Softsign ( name=None ) [source]

Softsign Activation

\[Softsign(x) = \frac{x}{1 + |x|}\]

Parameters: name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:

input: Tensor with any shape.
output: Tensor with the same shape as input.

Examples

           >>> import paddle

>>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
>>> m = paddle.nn.Softsign()
>>> out = m(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.28571430, -0.16666666,  0.09090909,  0.23076925])

          

forward ( x ) forward¶

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

*inputs (tuple) – unpacked tuple arguments
**kwargs (dict) – unpacked dict arguments

extra_repr ( ) extra_repr¶: Extra representation of this layer, you can have custom implementation of your own layer.

Softsign¶

forward¶

extra_repr¶