def stub_sampler(self, normalization, cuda):
        """
        The stub sampler. Return the original data. 
        """
        if normalization in self.trainadj_cache:
            r_adj = self.trainadj_cache[normalization]
        else:
            r_adj = self._preprocess_adj(normalization, self.train_adj, cuda)
            self.trainadj_cache[normalization] = r_adj
        fea = self._preprocess_fea(self.train_features, cuda)
        return r_adj, fea

        The stub sampler. Return the original data. 
        
src/sample.py