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Hardswish

class torch.nn.Hardswish(inplace=False)[source]

Applies the hardswish function, element-wise, as described in the paper:

Searching for MobileNetV3.

Hardswish(x)={0if x3,xif x+3,x(x+3)/6otherwise\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 – can optionally do the operation in-place. Default: False

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

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

Examples:

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

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