Sigmoid¶

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

this interface is used to construct a callable object of the Sigmoid class. This layer calculate the sigmoid of input x.

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

Parameters

name (str, optional) – For details, please refer to Name. Generally, no setting is required. Default: None.

Shape:

x: N-D tensor, available dtype is float16, float32, float64.

Returns

A callable object of Sigmoid.

Examples

>>> import paddle

>>> m = paddle.nn.Sigmoid()
>>> x = paddle.to_tensor([1.0, 2.0, 3.0, 4.0])
>>> out = m(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.73105860, 0.88079703, 0.95257413, 0.98201376])

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.