code: def _log_histogram_and_mean(log_key, val):
      try:
          SummaryWriterContext.add_histogram(log_key, val)
          SummaryWriterContext.add_scalar(f"{log_key}/mean", val.mean())
      except ValueError:
          logger.warning(
              f"Cannot create histogram for key: {log_key}; "
              "this is likely because you have NULL value in your input; "
              f"value: {val}"
          )
          raise
  
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 1 for calling a global function with example usage: _log_histogram_and_mean(log_key, val) without return types