Hardshrink

class paddle.nn. Hardshrink ( threshold=0.5, name=None ) [source]

Hardshrink 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

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

  • name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:

  • input: Tensor with any shape.

  • output: Tensor with the same shape as input.

Examples

>>> import paddle

>>> x = paddle.to_tensor([-1, 0.3, 2.5])
>>> m = paddle.nn.Hardshrink()
>>> out = m(x)
>>> print(out)
Tensor(shape=[3], dtype=float32, place=Place(cpu), stop_gradient=True,
[-1.       ,  0.       , 2.50000000])
forward ( x )

forward

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters

  • *inputs (tuple) – unpacked tuple arguments

  • **kwargs (dict) – unpacked dict arguments

extra_repr ( )

extra_repr

Extra representation of this layer, you can have custom implementation of your own layer.