code: def load_optimizer_weights_from_hdf5_group(hdf5_group):
      """Load optimizer weights from a HDF5 group.
  
      Args:
          hdf5_group: A pointer to a HDF5 group.
  
      Returns:
          data: List of optimizer weight names.
      """
      weights_group = hdf5_group["optimizer_weights"]
      optimizer_weight_names = load_attributes_from_hdf5_group(
          weights_group, "weight_names"
      )
      return [
          weights_group[weight_name]
          for weight_name in optimizer_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 10 for calling a global function with example usage: load_optimizer_weights_from_hdf5_group(hdf5_group) and returns: unknown