class_docstr: See Mish: A Self-Regularized Non-Monotonic Activation Function (Misra., https://arxiv.org/abs/1908.08681). Also
  visit the official repository for the paper: https://github.com/digantamisra98/Mish
class_docstr_tok: ["See","Mish",":","A","Self-Regularized","Non-Monotonic","Activation","Function","(","Misra.",",","https",":","\/\/arxiv.org\/abs\/1908.08681",")",".","Also","visit","the","official","repository","for","the","paper",":","https",":","\/\/github.com\/digantamisra98\/Mish"]
code: def forward(self, input: Tensor) -> Tensor:
      return self.act(input)
  
imports: import math
  import warnings
  from collections import OrderedDict
  import torch
  from packaging import version
  from torch import Tensor, nn
  from .utils import logging
label_desc: Use image node_id 3 for calling the MishActivation obj's underlying member method code with example usage: obj.forward(input) and returns: self