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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 get_initializers(self) -> List[Tuple[str, mx.init.Initializer]]: """ Get the initializers of the network, considering the pretrained models. :return: List of tuples (string name, mxnet initializer) """

        patterns_vals = []
        # Load from args/auxs
        for k in self.args.keys():
            patterns_vals.append((k, mx.init.Load({k: self.args[k]})))
        for k in self.auxs.keys():
            patterns_vals.append((k, mx.init.Load({k: self.auxs[k]})))
        # Initialize
        for k in self.names:
            patterns_vals.append((k, mx.init.Xavier(rnd_type='uniform', factor_type='avg', magnitude=3)))

        return patterns_vals