def METHOD_NAME(self, sparse_inputs, dense_inputs):
    sparse_inputs_concat = paddle.concat(sparse_inputs, axis=1)
    sparse_embeddings = self.embedding(sparse_inputs_concat)
    sparse_embeddings_re = paddle.reshape(
        sparse_embeddings,
        shape=[-1, self.sparse_num_field * self.sparse_feature_dim])
    feat_embeddings = paddle.concat([sparse_embeddings_re, dense_inputs],
                                    1)
    return feat_embeddings