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. 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

[image]
Examples:
  >>> m = nn.LeakyReLU(0.1)
  >>> input = torch.randn(2)
  >>> output = m(input)
