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LeakyReLU

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

Applies the element-wise function:

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

or

LeakyReLU(x)={x, if x0negative_slope×x, otherwise \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

../_images/LeakyReLU.png

Examples:

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

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