
init (float) -- the initial value of a. Default: 0.25

Shape:
      * Input: ( *) where *** means, any number of additional
        dimensions.
  * Output: (*), same shape as the input.

Variables:
      weight (Tensor) -- the learnable weights of shape
      ("num_parameters").
[image]
Examples:
  >>> m = nn.PReLU()
  >>> input = torch.randn(2)
  >>> output = m(input)
