Hardsigmoid
class torch.nn.Hardsigmoid(inplace=False)
Applies the Hardsigmoid function element-wise.
Hardsigmoid is defined as:
  \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}

Parameters:
      inplace (bool) -- can optionally do the operation in-
      place. Default: "False"
Shape:
      * Input: (*), where * means any number of dimensions.
  * Output: (*), same shape as the input.

[image]
Examples:
  >>> m = nn.Hardsigmoid()
  >>> input = torch.randn(2)
  >>> output = m(input)
