code: def get_saver_hook(
      self,
      estimator,
      keep_best_model,
      steps_per_epoch,
      early_stopping_steps,
      eval_frequency,
      cache_weights_to_file,
  ):
      return SaverHook(
          self,
          estimator=estimator,
          keep_best_model=keep_best_model,
          steps_per_epoch=steps_per_epoch,
          early_stopping_steps=early_stopping_steps,
          eval_frequency=eval_frequency,
          cache_weights_to_file=cache_weights_to_file,
      )
  
imports: import os
  from concurrent.futures import ThreadPoolExecutor
  import logging
  import sys
  import re
  import joblib
  import numpy
  import tensorflow
  from tensorflow.compat.v1.train import SessionRunHook
  from tensorflow_estimator.python.estimator.early_stopping import _StopOnPredicateHook
  from finetune.errors import FinetuneError
  from finetune.config import get_config
  from finetune.util.metrics import read_eval_metrics
label_desc: Use image node_id 4 for calling the Saver obj's underlying member method code with example usage: obj.get_saver_hook(estimator, keep_best_model, steps_per_epoch, early_stopping_steps, eval_frequency, cache_weights_to_file) and returns: SaverHook