# hardswish¶

paddle.nn.functional. hardswish ( x, name=None ) [source]

hardswish activation. hardswish is proposed in MobileNetV3, and performs better in computational stability and efficiency compared to swish function. For more details please refer to: https://arxiv.org/pdf/1905.02244.pdf

$\begin{split}hardswish(x)= \left\{ \begin{array}{cll} 0 &, & \text{if } x \leq -3 \\ x &, & \text{if } x \geq 3 \\ \frac{x(x+3)}{6} &, & \text{otherwise} \end{array} \right.\end{split}$
Parameters
• x (Tensor) – The input Tensor with data type float32, float64.

• name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Returns

A Tensor with the same data type and shape as x .

Examples

import paddle