LeakyReLU

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

Applies the element-wise function:

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

or

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

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: $(*)$ where * means, any number of additional dimensions

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

Examples:

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