selu

paddle.nn.functional. selu ( x, scale=1.0507009873554805, alpha=1.6732632423543772, name=None ) [source]

selu activation

\[\begin{split}selu(x)= scale * \left\{ \begin{array}{lcl} x,& &\text{if } \ x > 0 \\ alpha * e^{x} - alpha,& &\text{if } \ x <= 0 \end{array} \right.\end{split}\]
Parameters
  • x (Tensor) – The input Tensor with data type float32, float64.

  • scale (float, optional) – The value of scale(must be greater than 1.0) for selu. Default is 1.0507009873554804934193349852946

  • alpha (float, optional) – The value of alpha(must be no less than zero) for selu. Default is 1.6732632423543772848170429916717

  • 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([[0.0, 1.0],[2.0, 3.0]]))
out = F.selu(x) # [[0, 1.050701],[2.101402, 3.152103]]