class_docstr: Wraps a loss function in the `Loss` class.
class_docstr_tok: ["Wraps","a","loss","function","in","the","`","Loss","`","class","."]
docstr: Invokes the `LossFunctionWrapper` instance.
  
  Args:
    y_true: Ground truth values.
    y_pred: The predicted values.
  
  Returns:
    Loss values per sample.
docstr_tok: ["Invokes","the","`","LossFunctionWrapper","`","instance",".","Args",":","y_true",":","Ground","truth","values",".","y_pred",":","The","predicted","values",".","Returns",":","Loss","values","per","sample","."]
code: def call(self, y_true, y_pred):
      """Invokes the `LossFunctionWrapper` instance.
  
      Args:
        y_true: Ground truth values.
        y_pred: The predicted values.
  
      Returns:
        Loss values per sample.
      """
      return self.fn(y_true, y_pred, **self._fn_kwargs)
  
file_path: addons/tensorflow_addons/utils/keras_utils.py
imports: import tensorflow
label_desc: Use image node_id 2 for calling the LossFunctionWrapper obj's underlying member method code with example usage: obj.call(y_true, y_pred) and returns: self