code: def remove_unchanged(
      self, variable_names, variable_values, fallback_vars
  ):
      skips = []
      for var_val, var_name in zip(variable_values, variable_names):
          skip = False
          for fb_var_name, fb_var in fallback_vars.items():
              if fb_var_name == var_name:
                  for func in self.variable_transforms:
                      fb_var = func(var_name, fb_var)
                  if fb_var.shape == var_val.shape and np.allclose(
                      fb_var, var_val
                  ):
                      skip = True
                      break
          skips.append(skip)
      return (
          [var for skip, var in zip(skips, variable_names) if not skip],
          [
              var_val
              for skip, var_val in zip(skips, variable_values)
              if not skip
          ],
      )
  
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 9 for calling the Saver obj's underlying member method code with example usage: obj.remove_unchanged(variable_names, variable_values, fallback_vars) and returns: unknown,  unknown