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paddle.nn.functional. log_sigmoid ( x: Tensor, name: str | None = None ) → Tensor [source]
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log_sigmoid activation.

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

  • x (Tensor) – The input Tensor with data type float32, float64, complex64, complex128.

  • name (str|None, 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([1.0, 2.0, 3.0, 4.0])
>>> out = F.log_sigmoid(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[-0.31326166, -0.12692805, -0.04858733, -0.01814996])