CELU
class torch.nn.CELU(alpha=1.0, inplace=False)
Applies the element-wise function:
  \text{CELU}(x) = \max(0,x) + \min(0, \alpha * (\exp(x/\alpha) -
  1))

More details can be found in the paper Continuously Differentiable
   Exponential Linear Units .
Parameters:
      * alpha (float) -- the \alpha value for the CELU
        formulation. Default: 1.0
  * **inplace** (*bool*) -- can optionally do the operation in-
    place. Default: "False"

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

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Examples:
  >>> m = nn.CELU()
  >>> input = torch.randn(2)
  >>> output = m(input)
