docstr: Set the state of this optimizer object.
docstr_tok: ["Set","the","state","of","this","optimizer","object","."]
code: def load_own_variables(self, store):
      """Set the state of this optimizer object."""
      if len(store.keys()) != len(self.variables):
          msg = (
              f"Skipping variable loading for optimizer '{self.name}', "
              f"because it has {len(self.variables)} variables whereas "
              f"the saved optimizer has {len(store.keys())} variables. "
          )
          if len(self.variables) == 0:
              msg += (
                  "This is likely because the optimizer has not been "
                  "called/built yet."
              )
          warnings.warn(msg, stacklevel=2)
          return
      for i, variable in enumerate(self.variables):
          variable.assign(store[str(i)])
  
imports: import re
  import warnings
  import numpy
  from keras import backend
  from keras import initializers
  from keras import ops
  from keras.optimizers.schedules import learning_rate_schedule
  from keras.saving import serialization_lib
  from keras.utils import tracking
  from keras.utils.naming import auto_name
label_desc: Use image node_id 26 for calling the BaseOptimizer obj's underlying member method code with example usage: obj.load_own_variables(store) without return types