LogSigmoid

class paddle.nn.layer.activation. LogSigmoid ( name=None ) [source]

LogSigmoid Activation.

\[\begin{split}LogSigmoid(x) = log \\frac{1}{1 + e^{-x}}\end{split}\]
Parameters
  • x (Tensor) – The input Tensor with data type float32, or float64.

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

Shape:
  • input: Tensor with any shape.

  • output: Tensor with the same shape as input.

Examples

import paddle

x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
m = paddle.nn.LogSigmoid()
out = m(x) # [-0.313262 -0.126928 -0.0485874 -0.0181499]
forward ( x )

Defines the computation performed at every call. Should be overridden by all subclasses.

Parameters
  • *inputs (tuple) – unpacked tuple arguments

  • **kwargs (dict) – unpacked dict arguments

extra_repr ( )

Extra representation of this layer, you can have custom implementation of your own layer.