Hardsigmoid

class torch.nn.Hardsigmoid(inplace=False)

Applies the element-wise function:

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

Parameters

inplace – can optionally do the operation in-place. Default: False

Shape:

• Input: $(N, *)$ where * means, any number of additional dimensions

• Output: $(N, *)$, same shape as the input

Examples:

>>> m = nn.Hardsigmoid()
>>> input = torch.randn(2)
>>> output = m(input)