code: def _parse_parameter_locks(optimizer, meta_parameters, parameter_locks):
      
      # WARNING: meta_parameters is modified inline
  
      locked_values = {}
      if parameter_locks:
          for name in parameter_locks:
              # Store the current optimzier value
              # and remove from our dictionary of paramaters to optimize
              locked_values[name] = getattr(optimizer, name)
              meta_parameters.pop(name)
  
      return locked_values
docs: Synchronize meta_parameters and locked_values.
  
      The union of these two sets will have all necessary parameters.
      locked_values will have the parameters specified in parameter_locks.