code: def _process_health_pill_value(self,
                                   wall_time,
                                   step,
                                   device_name,
                                   output_slot,
                                   node_name,
                                   tensor_proto,
                                   node_name_set=None):
      
      if node_name_set and node_name not in node_name_set:
        # This event is not relevant.
        return None
  
      # Since we seek health pills for a specific step, this function
      # returns 1 health pill per node per step. The wall time is the
      # seconds since the epoch.
      elements = list(tensor_util.make_ndarray(tensor_proto))
      return HealthPillEvent(
          wall_time=wall_time,
          step=step,
          device_name=device_name,
          output_slot=output_slot,
          node_name=node_name,
          dtype=repr(tf.as_dtype(elements[12])),
          shape=elements[14:],
          value=elements)
docs: Creates a HealthPillEvent containing various properties of a health pill.
  
      Args:
        wall_time: The wall time in seconds.
        step: The session run step of the event.
        device_name: The name of the node's device.
        output_slot: The numeric output slot.
        node_name: The name of the node (without the output slot).
        tensor_proto: A tensor proto of data.
        node_name_set: An optional set of node names that are relevant. If not
          provided, no filtering by relevance occurs.
  
      Returns:
        An event_accumulator.HealthPillEvent. Or None if one could not be created.