original_docstring: r"""
          Helper function for feedforwarding through main layers, including conditional BN.
          
docstring: r"""
  Helper function for feedforwarding through main layers, including conditional BN.
docstring_tokens: r " " " Helper function for feedforwarding through main layers including conditional BN .
code: def _residual_conditional(self, x, y):
          r"""
          Helper function for feedforwarding through main layers, including conditional BN.
          """
          h = x
          h = self.b1(h, y)
          h = self.activation(h)
          h = self._upsample_conv(h, self.c1) if self.upsample else self.c1(h)
          h = self.b2(h, y)
          h = self.activation(h)
          h = self.c2(h)
  
          return h
code_tokens: def _residual_conditional ( self , x , y ) : h = x h = self . b1 ( h , y ) h = self . activation ( h ) h = self . _upsample_conv ( h , self . c1 ) if self . upsample else self . c1 ( h ) h = self . b2 ( h , y ) h = self . activation ( h ) h = self . c2 ( h ) return h
short_docstring: r"""
  Helper function for feedforwarding through main layers, including conditional BN.
short_docstring_tokens: r " " " Helper function for feedforwarding through main layers including conditional BN .
comment: r"""
          Helper function for feedforwarding through main layers, including conditional BN.
          """