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(gpu:0), 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.