def METHOD_NAME(self):
    """
    Computes average validation accuracy
    :param outputs: outputs after every epoch end
    :return: output - average valid loss
    """
    losses = torch.stack([x["val_step_loss"] for x in self.validation_step_outputs])
    avg_loss = losses.mean()
    self.log("val_loss", avg_loss, sync_dist=True)
    self.validation_step_outputs.clear()