docstr: Set the weights of the optimizer.
docstr_tok: ["Set","the","weights","of","the","optimizer","."]
code: def set_weights(self, weights):
      """Set the weights of the optimizer."""
      if not self.built:
          raise ValueError(
              "You are calling `set_weights()` on an optimizer that has not "
              "yet been built. Please call "
              "`optimizer.build(trainable_variables)` to create the "
              "optimizer weights before calling `set_weights()`."
          )
      for variable, weight in zip(self._variables, weights):
          if variable.shape != weight.shape:
              raise ValueError(
                  f"Optimizer variable {self._var_key(variable)} has shape "
                  f"{str(variable.shape)} not compatible with provided "
                  f"weight shape {str(weight.shape)}."
              )
          variable.assign(weight)
  
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 24 for calling the BaseOptimizer obj's underlying member method code with example usage: obj.set_weights(weights) without return types