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class paddle.nn. LogSigmoid ( name: Optional[str] = None ) [source]
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LogSigmoid Activation.

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

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

  • name (str|None, 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: Tensor ) → Tensor

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 ( ) → str

extra_repr?

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