sigmoid¶

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

Sigmoid Activation.

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

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 Name.

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])