code: def aggregate(self, values):
      assert len(values.shape) == 1 or (
          len(values.shape) == 2 and values.shape[1] == 1
      ), f"Unexpected shape for {self.key}: {values.shape}"
      _log_histogram_and_mean(self.log_key, values)
  
imports: import logging
  from collections import deque
  from typing import Any, Callable, Deque, Dict, List, Optional
  import numpy
  import torch
  from reagent.core.tensorboardX import SummaryWriterContext
  from reagent.core.tracker import Aggregator
label_desc: Use image node_id 2 for calling the TensorBoardHistogramAndMeanAggregator obj's underlying member method code with example usage: obj.aggregate(values) without return types