parameters: (self, input_tensor)
return_statement: return (self.normalizer(input_tensor) if self.normalizer is not None else
              input_tensor)
docstring: Returns the input tensor after custom normalization is applied.
docstring_summary: Returns the input tensor after custom normalization is applied.
docstring_tokens: Returns the input tensor after custom normalization is applied .
function: def _normalized_input_tensor(self, input_tensor):
      """Returns the input tensor after custom normalization is applied."""
      return (self.normalizer(input_tensor) if self.normalizer is not None else
              input_tensor)
function_tokens: def _normalized_input_tensor ( self , input_tensor ) : return ( self . normalizer ( input_tensor ) if self . normalizer is not None else input_tensor )