Mish
class torch.nn.Mish(inplace=False)
Applies the Mish function, element-wise. Mish: A Self Regularized
   Non-Monotonic Neural Activation Function.
  \text{Mish}(x) = x * \text{Tanh}(\text{Softplus}(x))

Note:
 See Mish: A Self Regularized Non-Monotonic Neural Activation
 Function

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

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