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) – 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
import paddle.nn.functional as F

x = paddle.to_tensor([-2., 0., 1.])
out = F.swish(x)
print(out)
# Tensor(shape=[3], dtype=float32, place=Place(gpu:0), stop_gradient=True,
#        [-0.23840584,  0.        ,  0.73105854])