Hardswish
class torch.nn.Hardswish(inplace=False)
Applies the Hardswish function, element-wise, as described in the
   paper: Searching for MobileNetV3.
Hardswish is defined as:
  \text{Hardswish}(x) = \begin{cases}     0 & \text{if~} x \le -3,
  \\     x & \text{if~} x \ge +3, \\     x \cdot (x + 3) /6 &
  \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.

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Examples:
  >>> m = nn.Hardswish()
  >>> input = torch.randn(2)
  >>> output = m(input)
