@neural_computation
    def get_initial_states(self, input_var):
        initial_states = {}
        for state in self.state_names:
            initial_states[state] = T.alloc(np.cast[FLOATX](0.), input_var.shape[0], self.hidden_size)
        return initial_states
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dataset/ETHPy150Open zomux/deepy/deepy/layers/recurrent.py/RecurrentLayer.get_initial_states--crossover with--dataset/ETHPy150Open brousch/sl4a_pydroid_mock_api/src/android/utils/androidhelper_r6.py/Android.smsDeleteMessage