hardshrink¶

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

hard shrinkage activation

\[\begin{split}hardshrink(x)= \left\{ \begin{array}{rcl} x,& &if \ {x > threshold} \\ x,& &if \ {x < -threshold} \\ 0,& &if \ {others} & \end{array} \right.\end{split}\]

Parameters

• x (Tensor) – The input Tensor with data type float32, float64.

• threshold (float, optional) – The value of threshold for hardthrink. Default is 0.5.

• name (str, 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([-1, 0.3, 2.5])
>>> out = F.hardshrink(x)
>>> print(out)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[-1.       ,  0.       , 2.50000000])