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 – Controls the angle of the negative slope. Default: 1e-2
  • inplace – can optionally do the operation in-place. Default: False
Shape:
  • Input: (N,)(N, *) where * means, any number of additional dimensions
  • Output: (N,)(N, *) , 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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Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.8.0/generated/torch.nn.LeakyReLU.html