LeakyReLU¶

class paddle.nn. LeakyReLU ( negative_slope=0.01, name=None ) [source]

Leaky ReLU Activation. Create a callable object of LeakyReLU to calculate the LeakyReLU of input x.

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

Parameters

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

• name (str, optional) – Name for the operation (optional, default is None). For more information, please refer to Name.

Shape:

• input: Tensor with any shape.

• output: Tensor with the same shape as input.

Examples

import paddle

m = paddle.nn.LeakyReLU()
x = paddle.to_tensor([-2.0, 0, 1])
out = m(x)  # [-0.02, 0., 1.]

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.