code: def load_subset_weights_from_hdf5_group(f):
      """Load layer weights of a model from hdf5.
  
      Args:
          f: A pointer to a HDF5 group.
  
      Returns:
          List of NumPy arrays of the weight values.
  
      Raises:
          ValueError: in case of mismatch between provided model
              and weights file.
      """
      weight_names = load_attributes_from_hdf5_group(f, "weight_names")
      return [
          np.asarray(f[weight_name]) for weight_name in weight_names
      ]
  
imports: import json
  import os
  import warnings
  import numpy
  from absl import logging
  from keras import backend
  from keras import optimizers
  from keras.backend.common import global_state
  from keras.legacy.saving import json_utils
  from keras.legacy.saving import saving_options
  from keras.legacy.saving import saving_utils
  from keras.saving import object_registration
  from keras.utils import io_utils
label_desc: Use image node_id 9 for calling a global function with example usage: load_subset_weights_from_hdf5_group(f) and returns: unknown