code: def log_to_tensorboard(self) -> None:
      self.reward_estimates.log_to_tensorboard("Reward")
      for metric_name, estimate_set in self.metric_estimates.items():
          estimate_set.log_to_tensorboard(metric_name)
  
file_path: ReAgent/reagent/evaluation/cpe.py
imports: import logging
  import math
  from typing import Dict, NamedTuple, Optional
  import numpy
  import torch
  from reagent.core.tensorboardX import SummaryWriterContext
label_desc: Use image node_id 3 for calling the CpeDetails obj's underlying member method code with example usage: obj.log_to_tensorboard() without return types