Swish

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

Swish Activation.

\[Swish(x) = \frac{x}{1 + e^{-x}}\]
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([-2., 0., 1.])
m = paddle.nn.Swish()
out = m(x)
print(out)
# Tensor(shape=[3], dtype=float32, place=Place(gpu:0), stop_gradient=True,
#        [-0.23840584,  0.        ,  0.73105854])
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.