sigmoid

paddle.Tensor. sigmoid ( x: paddle.Tensor, name: str | None = None, *, out: Tensor | None = None ) → paddle.Tensor

Sigmoid Activation.

\[\begin{split}out = \\frac{1}{1 + e^{-x}}\end{split}\]

Note

Alias Support: The parameter name input can be used as an alias for x. For example, sigmoid(input=tensor_x) is equivalent to sigmoid(x=tensor_x).

Parameters

• x (Tensor) – Input of Sigmoid operator, an N-D Tensor, with data type bfloat16, float16, float32, float64, uint8, int8, int16, int32, int64, complex64 or complex128.

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

Keyword Arguments

out (Tensor|optional) – The output tensor.

Returns

Tensor. Output of Sigmoid operator, a Tensor with shape same as input

(integer types are autocasted into float32).

Examples

>>> import paddle
>>> import paddle.nn.functional as F

>>> x = paddle.to_tensor([-0.4, -0.2, 0.1, 0.3])
>>> out = F.sigmoid(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.40131235, 0.45016602, 0.52497917, 0.57444251])