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CELU

class torch.nn.CELU(alpha: float = 1.0, inplace: bool = False) [source]

Applies the element-wise function:

CELU(x)=max(0,x)+min(0,α(exp(x/α)1))\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 – the α\alpha value for the CELU formulation. Default: 1.0
  • 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/CELU.png

Examples:

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

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Licensed under the 3-clause BSD License.
https://pytorch.org/docs/1.7.0/generated/torch.nn.CELU.html