Hardsigmoid

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Hardsigmoid#

class brainstate.nn.Hardsigmoid(name=None)#

Applies the Hardsigmoid function element-wise.

Hardsigmoid is defined as:

\[\begin{split}\text{Hardsigmoid}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ 1 & \text{if~} x \ge +3, \\ x / 6 + 1 / 2 & \text{otherwise} \end{cases}\end{split}\]

Shape#

  • Input: \((*)\), where \(*\) means any number of dimensions.

  • Output: \((*)\), same shape as the input.

Examples

>>> import brainstate.nn as nn
>>> import brainstate
>>> m = nn.Hardsigmoid()
>>> x = brainstate.random.randn(2)
>>> output = m(x)
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