swish¶

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

swish activation.

\[swish(x) = \frac{x}{1 + e^{-x}}\]

Parameters

• x (Tensor) – The input Tensor with data type float32, float64.

• name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Returns

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

Examples

import paddle
import paddle.nn.functional as F
import numpy as np

x = paddle.to_tensor(np.array([-2., 0., 1.]))
out = F.swish(x) # [-0.238406, 0., 0.731059]