softshrink¶

paddle.nn.functional. softshrink ( x: Tensor, threshold: float = 0.5, name: str | None = None ) → Tensor [source]

softshrink activation

$$\begin{split}softshrink(x)= \left\{ \begin{array}{rcl} x - threshold,& & \text{if } x > threshold \\ x + threshold,& & \text{if } x < -threshold \\ 0,& & \text{otherwise} \end{array} \right.\end{split}$$

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|None, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

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

Examples

>>> import paddle
>>> import paddle.nn.functional as F

>>> x = paddle.to_tensor([-0.9, -0.2, 0.1, 0.8])
>>> out = F.softshrink(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.39999998,  0.        ,  0.        ,  0.30000001])