original_docstring: 
          Applies the Funnel Activation (FReLU) for 2d inputs such as images.
  
          Args:
              x: torch.Tensor
  
          Returns:
  
          
docstring: Applies the Funnel Activation (FReLU) for 2d inputs such as images.
docstring_tokens: Applies the Funnel Activation ( FReLU ) for 2d inputs such as images .
code: def forward(self, x: torch.Tensor) -> torch.Tensor:
          """
          Applies the Funnel Activation (FReLU) for 2d inputs such as images.
  
          Args:
              x: torch.Tensor
  
          Returns:
  
          """
          out = self.conv(x)
          out = self.norm(out)
          out = torch.max(x, out)
          return out
code_tokens: def forward ( self , x : torch . Tensor ) -> torch . Tensor : out = self . conv ( x ) out = self . norm ( out ) out = torch . max ( x , out ) return out
short_docstring: Applies the Funnel Activation (FReLU) for 2d inputs such as images.
short_docstring_tokens: Applies the Funnel Activation ( FReLU ) for 2d inputs such as images .
comment: """
          Applies the Funnel Activation (FReLU) for 2d inputs such as images.
  
          Args:
              x: torch.Tensor
  
          Returns:
  
          """