original_docstring: 
          Apply Mish to the input.
  
          Examples:
              >>> import torch
              >>> act = Mish()
              >>> x = torch.randn(2)
              >>> y = act(y)
  
          Args:
              inputs(torch.Tensor):
  
          Returns:
              Result of applying mish (torch.Tensor)
  
          
docstring: Apply Mish to the input.
docstring_tokens: Apply Mish to the input .
code: def forward(self, inputs: torch.Tensor) -> torch.Tensor:
          """
          Apply Mish to the input.
  
          Examples:
              >>> import torch
              >>> act = Mish()
              >>> x = torch.randn(2)
              >>> y = act(y)
  
          Args:
              inputs(torch.Tensor):
  
          Returns:
              Result of applying mish (torch.Tensor)
  
          """
          return inputs * self.tanh(self.softplus(inputs))
code_tokens: def forward ( self , inputs : torch . Tensor ) -> torch . Tensor : return inputs * self . tanh ( self . softplus ( inputs ) )
short_docstring: Apply Mish to the input.
short_docstring_tokens: Apply Mish to the input .
comment: """
          Apply Mish to the input.
  
          Examples:
              >>> import torch
              >>> act = Mish()
              >>> x = torch.randn(2)
              >>> y = act(y)
  
          Args:
              inputs(torch.Tensor):
  
          Returns:
              Result of applying mish (torch.Tensor)
  
          """