def METHOD_NAME(self, batch_data, config):
    feature_size = config.get('hyper_parameters.feature_size', None)
    input_data = paddle.to_tensor(batch_data[0].numpy().astype('float32')
                                  .reshape(-1, 1, 36, 36))
    label_left = paddle.to_tensor(batch_data[1].numpy().astype("int64")
                                  .reshape(-1, 1))
    label_right = paddle.to_tensor(batch_data[2].numpy().astype("int64")
                                   .reshape(-1, 1))
    return input_data, label_left, label_right