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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _setup(self):
 """ for each string defined in self.weights, the corresponding attribute in the wrapped module is referenced, then deleted, and subsequently registered as a new parameter with a slightly modified name. Args: None Returns: None """

        if isinstance(self.module, torch.nn.RNNBase): self.module.flatten_parameters = noop
        for name_w in self.weights:
            w = getattr(self.module, name_w)
            del self.module._parameters[name_w]
            self.module.register_parameter(name_w + '_raw', nn.Parameter(w.data))