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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 _weight_drop(module, weights, dropout):
 """ Helper for `WeightDrop`. """


    for name_w in weights:
        w = getattr(module, name_w)
        del module._parameters[name_w]
        module.register_parameter(name_w + '_raw', Parameter(w))

    original_module_forward = module.forward

    def forward(*args, **kwargs):
        for name_w in weights:
            raw_w = getattr(module, name_w + '_raw')
            w = torch.nn.functional.dropout(raw_w, p=dropout, training=module.training)
            setattr(module, name_w, w)

        return original_module_forward(*args)

    setattr(module, 'forward', forward)