def METHOD_NAME(self, batch_size):
    output = []
    for _ in range(batch_size):
        zeros_lstm_inputs = {}
        for lstm_input_name in self.launcher.lstm_inputs.keys():
            if hasattr(self.model.network, 'input_info'):
                shape = self.model.network.input_info[lstm_input_name].input_data.shape
            else:
                shape = self.model.inputs[lstm_input_name].shape
            zeros_lstm_inputs[lstm_input_name] = np.zeros(shape, dtype=np.float32)
        output.append(zeros_lstm_inputs)
    return output