LeakyReLU

class torch.nn.LeakyReLU(negative_slope=0.01, inplace=False)

Applies the LeakyReLU function element-wise.

$$\text{LeakyReLU}(x)=\max (0,x)+\text{negative\_slope}\ast \min (0,x)$$

or

$$\text{LeakyReLU}(x)=\{\begin{array}{ll}x,& \text{ if }x\ge 0\\ \text{negative\_slope}\times x,& \text{ otherwise }\end{array}$$

Parameters

• negative_slope (float) – Controls the angle of the negative slope (which is used for negative input values). Default: 1e-2

• inplace (bool) – can optionally do the operation in-place. Default: False

Shape:

• Input: $(\ast )$ where * means, any number of additional dimensions

• Output: $(\ast )$, same shape as the input

Examples:

>>> m = nn.LeakyReLU(0.1)
>>> input = torch.randn(2)
>>> output = m(input)

extra_repr()

Return the extra representation of the module.

Return type

str

forward(input)

Run forward pass.

Return type

Tensor