LogSigmoid¶

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

LogSigmoid Activation.

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

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)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.31326166, -0.12692805, -0.04858733, -0.01814996])

          

forward ( x ) forward¶

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

LogSigmoid¶

forward¶

extra_repr¶