code: def load_feature_metadata(eval_saved_model_path: str):
      """Get feature data (feature columns, feature) from EvalSavedModel metadata.
  
      Args:
        eval_saved_model_path: Path to EvalSavedModel, for the purposes of loading
          the feature_metadata file.
  
      Returns:
        Described in deserialize_feature_metadata.
      """
  
      with open(
          feature_metadata_path(eval_saved_model_path), "rb"
      ) as f:
          return deserialize_feature_metadata(f.read())
  
imports: import contextlib
  import inspect
  import os
  import pickle
  from typing import Any, Callable, Dict, Optional
  import six
  import tensorflow
  from tensorflow import estimator
  import tensorflow_model_analysis
  from tensorflow_model_analysis.api import types
  from tensorflow_model_analysis.utils import util
  from tensorflow.python.feature_column import feature_column_v2
  from tensorflow_estimator.python.estimator.canned import dnn
label_desc: Use image node_id 11 for calling a global function with example usage: load_feature_metadata(eval_saved_model_path) and returns: deserialize_feature_metadata