Hardtanh

class paddle.nn. Hardtanh ( min=- 1.0, max=1.0, name=None ) [source]

Hardtanh Activation

\[\begin{split}Hardtanh(x)= \\begin{cases} max, \\text{if } x > max \\\\ min, \\text{if } x < min \\\\ x, \\text{otherwise} \\end{cases}\end{split}\]
Parameters
  • min (float, optional) – The value of min for Hardtanh. Default is -1.

  • max (float, optional) – The value of max for Hardtanh. Default is 1.

  • 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([-1.5, 0.3, 2.5])
m = paddle.nn.Hardtanh()
out = m(x) # [-1., 0.3, 1.]
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.