selu¶

paddle.nn.functional. selu ( x, scale=1.0507009873554805, alpha=1.6732632423543772, name=None ) [source]

selu activation

\[\begin{split}selu(x)= scale * \left\{ \begin{array}{lcl} x,& &\text{if } \ x > 0 \\ alpha * e^{x} - alpha,& &\text{if } \ x <= 0 \end{array} \right.\end{split}\]

Parameters

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

• scale (float, optional) – The value of scale(must be greater than 1.0) for selu. Default is 1.0507009873554804934193349852946.

• alpha (float, optional) – The value of alpha(must be no less than zero) for selu. Default is 1.6732632423543772848170429916717.

• name (str, 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([[0.0, 1.0],[2.0, 3.0]])
>>> out = F.selu(x)
>>> print(out)
Tensor(shape=[2, 2], dtype=float32, place=Place(cpu), stop_gradient=True,
[[0.        , 1.05070102],
 [2.10140204, 3.15210295]])