Hardsigmoid# class torch.nn.Hardsigmoid(inplace=False)[source]# Applies the Hardsigmoid function element-wise. Hardsigmoid is defined as: Hardsigmoid(x)={0if x≤−3,1if x≥+3,x/6+1/2otherwise\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} Hardsigmoid(x)=⎩⎨⎧01x/6+1/2if x≤−3,if x≥+3,otherwise 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. Examples: >>> m = nn.Hardsigmoid() >>> input = torch.randn(2) >>> output = m(input) forward(input)[source]# Runs the forward pass. Return type Tensor
