softplus¶

paddle.nn.functional. softplus ( x, beta=1, threshold=20, name=None ) [source]

softplus activation

\[\begin{split}softplus(x)=\begin{cases} \frac{1}{\beta} * \log(1 + e^{\beta * x}),&x\leqslant\frac{\varepsilon}{\beta};\\ x,&x>\frac{\varepsilon}{\beta}. \end{cases}\end{split}\]

Parameters

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

• beta (float, optional) – The value of \(\beta\) for softplus. Default is 1

• threshold (float, optional) – The value of \(\varepsilon\) for softplus. Default is 20

• 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([-0.4, -0.2, 0.1, 0.3], dtype='float32')
>>> out = F.softplus(x)
>>> print(out)
Tensor(shape=[4], dtype=float32, place=Place(cpu), stop_gradient=True,
[0.51301527, 0.59813893, 0.74439669, 0.85435522])