code: def _process_tensor_event(self, event, thresholds):
      
      return self._make_pr_entry(
          event.step,
          event.wall_time,
          tensor_util.make_ndarray(event.tensor_proto),
          thresholds)
docs: Converts a TensorEvent into a dict that encapsulates information on it.
  
      Args:
        event: The TensorEvent to convert.
        thresholds: An array of floats that ranges from 0 to 1 (in that
          direction and inclusive of 0 and 1).
  
      Returns:
        A JSON-able dictionary of PR curve data for 1 step.