softshrink

paddle.nn.functional. softshrink ( x, threshold=0.5, name=None ) [source]

softshrink activation

\[\begin{split}softshrink(x)= \\begin{cases} x - threshold, \\text{if } x > threshold \\\\ x + threshold, \\text{if } x < -threshold \\\\ 0, \\text{otherwise} \\end{cases}\end{split}\]
Parameters
  • x (Tensor) – The input Tensor with data type float32, float64.

  • threshold (float, optional) – The value of threshold(must be no less than zero) for softplus. Default is 0.5

  • 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([-0.9, -0.2, 0.1, 0.8]))
out = F.softshrink(x) # [-0.4, 0, 0, 0.3]