hardswish¶
- dragon.nn.- hardswish(
 inputs,
 **kwargs
 )[source]¶
- Apply the hard swish function. [Howard et.al, 2019]. - The HardSwish function is defined as: \[\text{HardSwish}(x) = x \cdot \max(0, \min(1, \frac{x}{6} + 0.5)) \]- Examples: - x = dragon.constant([-3., -1., 0., 1., 3.]) print(dragon.nn.hardswish(x)) - Parameters:
- inputs (dragon.Tensor) – The input tensor.
 
 - Returns:
- dragon.Tensor – The output tensor. 
 
