Hardswish#
- class brainpy.dnn.Hardswish(inplace=False)[source]#
Applies the Hardswish function, element-wise, as described in the paper: Searching for MobileNetV3.
Hardswish is defined as:
\[\begin{split}\text{Hardswish}(x) = \begin{cases} 0 & \text{if~} x \le -3, \\ x & \text{if~} x \ge +3, \\ x \cdot (x + 3) /6 & \text{otherwise} \end{cases}\end{split}\]- 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:
>>> import brainpy as bp >>> import brainpy.math as bm >>> m = bp.dnn.Hardswish() >>> input = bm.random.randn(2) >>> output = m(input)