code: def check_deprecated_options(
      config: Dict[Text, Any]
  ) -> Dict[Text, Any]:
      """Update the config according to changed config params.
  
      If old model configuration parameters are present in the provided config, replace
      them with the new parameters and log a warning.
  
      Args:
          config: model configuration
  
      Returns: updated model configuration
      """
      # note: call _replace_deprecated_option() here when there are options to deprecate
  
      return config
  
imports: from pathlib import Path
  import numpy
  from typing import Optional, Text, Dict, Any, Union, List, Tuple, TYPE_CHECKING
  import rasa.shared.utils.common
  import rasa.shared.utils.io
  import rasa.nlu.utils.bilou_utils
  from rasa.shared.constants import NEXT_MAJOR_VERSION_FOR_DEPRECATIONS
  from rasa.nlu.constants import NUMBER_OF_SUB_TOKENS
  import rasa.utils.io
  from rasa.utils.tensorflow.constants import LOSS_TYPE, RANKING_LENGTH, RENORMALIZE_CONFIDENCES, SIMILARITY_TYPE, EVAL_NUM_EXAMPLES, EVAL_NUM_EPOCHS, EPOCHS, SOFTMAX, MARGIN, AUTO, INNER, COSINE, SEQUENCE, CROSS_ENTROPY, CONSTRAIN_SIMILARITIES, MODEL_CONFIDENCE, TOLERANCE, CHECKPOINT_MODEL
  from rasa.utils.tensorflow.callback import RasaTrainingLogger, RasaModelCheckpoint
  from rasa.utils.tensorflow.data_generator import RasaBatchDataGenerator
  from rasa.utils.tensorflow.model_data import RasaModelData
  from rasa.shared.nlu.constants import SPLIT_ENTITIES_BY_COMMA
  from rasa.shared.exceptions import InvalidConfigException
label_desc: Use image node_id 7 for calling a global function with example usage: check_deprecated_options(config) and returns: config