swish

paddle.nn.functional. swish ( x, name=None ) [source]

swish activation.

\[\begin{split}swish(x) = \\frac{x}{1 + e^{-x}}\end{split}\]
Parameters
  • x (Tensor) – The input Tensor with data type float32, float64.

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

Returns

A Tensor with the same data type and shape as x .

Examples

import paddle
import paddle.nn.functional as F
import numpy as np

x = paddle.to_tensor(np.array([-2., 0., 1.]))
out = F.swish(x) # [-0.238406, 0., 0.731059]