softplus

paddle.nn.functional. softplus ( x, beta=1, threshold=20, name=None ) [source]

softplus activation

\[\begin{split}softplus(x) = \\frac{1}{beta} * \\log(1 + e^{beta * x}) \\\\ \\text{For numerical stability, the implementation reverts to the linear function when: beta * x > threshold.}\end{split}\]
Parameters
  • x (Tensor) – The input Tensor with data type float32, float64.

  • beta (float, optional) – The value of beta for softplus. Default is 1

  • threshold (float, optional) – The value of threshold for softplus. Default is 20

  • 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([-0.4, -0.2, 0.1, 0.3]))
out = F.softplus(x) # [0.513015, 0.598139, 0.744397, 0.854355]