(self, prediction_tensor, target_tensor, **params)
Method to be overridden by implementations.

    Args:
      prediction_tensor: a tensor representing predicted quantities
      target_tensor: a tensor representing regression or classification targets
      **params: Additional keyword arguments for specific implementations of
              the Loss.

    Returns:
      loss: an N-d tensor of shape [batch, anchors, ...] containing the loss per
        anchor
Method to be overridden by implementations.
Method to be overridden by implementations .
def _compute_loss(self, prediction_tensor, target_tensor, **params):
    """Method to be overridden by implementations.

    Args:
      prediction_tensor: a tensor representing predicted quantities
      target_tensor: a tensor representing regression or classification targets
      **params: Additional keyword arguments for specific implementations of
              the Loss.

    Returns:
      loss: an N-d tensor of shape [batch, anchors, ...] containing the loss per
        anchor
    """
    pass
def _compute_loss ( self , prediction_tensor , target_tensor , * * params ) : pass