code: def begin(self):
      super().begin()
      self.included = tf.compat.v1.global_variables()
      self.scalars = [
          w
          for w in tf.compat.v1.global_variables()
          if "training_fraction" in w.name
      ]
      if self.saver.exclude_matches and not self.cache_weights_to_file:
          self.included = [
              w
              for w in self.included
              if self.saver.exclude_matches not in w.name
          ]
  
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 3 for calling the SaverHook obj's underlying member method code with example usage: obj.begin() without return types