class_docstr: Loss base 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.loss_fn(y_true, y_pred, **self._fn_kwargs)
  
imports: import tf_encrypted
label_desc: Use image node_id 2 for calling the Loss obj's underlying member method code with example usage: obj.call(y_true, y_pred) and returns: self