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# torch.nn.functional.selu

torch.nn.functional.selu(input, inplace=False) → Tensor

  Applies element-wise, SELU(x)=s c a l e∗(max⁡(0,x)+min⁡(0,α∗(exp⁡(x)−1)))\text{SELU}(x) = scale * (\max(0,x) + \min(0, \alpha * (\exp(x) - 1)))SELU(x)=sc a l e∗(max(0,x)+min(0,α∗(exp(x)−1))), with α=1.6732632423543772848170429916717\alpha=1.6732632423543772848170429916717 α=1.6732632423543772848170429916717 and s c a l e=1.0507009873554804934193349852946 scale=1.0507009873554804934193349852946 sc a l e=1.0507009873554804934193349852946.

  See `SELU` for more details.

  Return type:

    Tensor

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