log_sigmoid¶

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

log_sigmoid activation.

\[\begin{split}log\\_sigmoid(x) = log \\frac{1}{1 + e^{-x}}\end{split}\]

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

x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
out = F.log_sigmoid(x) # [-0.313262 -0.126928 -0.0485874 -0.0181499]