leaky_relu¶

paddle.nn.functional. leaky_relu ( x, negative_slope=0.01, name=None ) [source]

leaky_relu activation. The calculation formula is:

\[\begin{split}leaky\_relu(x)= \left\{ \begin{array}{rcl} x, & & if \ x >= 0 \\ negative\_slope * x, & & otherwise \\ \end{array} \right.\end{split}\]

Parameters

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

• negative_slope (float, optional) – Slope of the activation function at \(x < 0\) . Default is 0.01.

• 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([-2., 0., 1.])
out = F.leaky_relu(x)
print(out)
# [-0.02, 0., 1.]