Created by: fingthinking

在进行分词大量调用的时候，出现了如下的错误，请问应该是什么原因呢？请帮忙解答一下：

F0717 16:29:34.666633 31026 ContextProjectionOp.cpp:124] Check failed: val_seqs.shape()[0] == out_seq.shape()[0] (9 vs. 12)
*** Check failure stack trace: ***
    @     0x7f5d0b99587d  google::LogMessage::Fail()
    @     0x7f5d0b99932c  google::LogMessage::SendToLog()
    @     0x7f5d0b9953a3  google::LogMessage::Flush()
    @     0x7f5d0b99a83e  google::LogMessageFatal::~LogMessageFatal()
    @     0x7f5d0b81e788  paddle::ContextProjectionForwardFunc<>::calc()
    @     0x7f5d0b6dac0e  paddle::ContextProjection::forward()
    @     0x7f5d0b77041e  paddle::MixedLayer::forward()
    @     0x7f5d0b80c530  paddle::NeuralNetwork::forward()
    @     0x7f5d0b6c34e6  paddle_gradient_machine_forward
    @           0x464469  cpu::ci::QualityPredict::get_score()
    @           0x46571f  cpu::ci::QualityServiceImpl::queryQuality()
    @           0x45f0d5  cpu::ci::QualityService::CallMethod()
    @           0x4fd980  baidu::rpc::policy::ProcessRpcRequest()
    @           0x53b72a  baidu::rpc::ProcessInputMessage()
    @           0x53c58b  baidu::rpc::InputMessenger::OnNewMessages()
    @           0x4a79bd  baidu::rpc::Socket::ProcessEvent()
    @           0x61c1f9  bthread::TaskGroup::task_runner()
    @           0x611171  bthread_make_fcontext

为什么会出现输入与输出的形状不一致的情况。

代码如下：

std::pair<float, float> QualityPredict::get_score(std::string query) {
    std::vector<std::string> line_vec;
    // 分割字符串
    size_t count = cpu::ci::str_split(query, " ", line_vec);
    int sep[count];

    for (size_t i = 0; i < count; i++) {
        if (this->_word_dict.count(line_vec[i]) > 0) {
            sep[i] = this->_word_dict.find(line_vec[i])->second;
        } else {
            sep[i] = 0;
        }
    }

    cpu::ci::print_arr(sep, count);
    paddle_arguments in_args = paddle_arguments_create_none();
    // There is only one input of this network.
    CHECK(paddle_arguments_resize(in_args, 1));
    paddle_ivector sentence = paddle_ivector_create(
                                  sep, sizeof(sep) / sizeof(int), false, false);
    CHECK(paddle_arguments_set_ids(in_args, 0, sentence));


    int seq_pos_array[] = {0, (int)(sizeof(sep) / sizeof(int))};

    paddle_ivector seq_pos = paddle_ivector_create(
                                 seq_pos_array, sizeof(seq_pos_array) / sizeof(int), false, false);

    CHECK(paddle_arguments_set_sequence_start_pos(in_args, 0, 0, seq_pos));

    paddle_arguments out_args = paddle_arguments_create_none();
    CHECK(paddle_gradient_machine_forward(this->_machine,
                                          in_args,
                                          out_args,
                                          /* isTrain */ false));
    paddle_matrix prob = paddle_matrix_create_none();

    CHECK(paddle_arguments_get_value(out_args, 0, prob));

    paddle_real* array = nullptr;
    CHECK(paddle_matrix_get_row(prob, 0, &array));
    CHECK(paddle_matrix_destroy(prob));
    CHECK(paddle_arguments_destroy(out_args));
    CHECK(paddle_ivector_destroy(seq_pos));
    CHECK(paddle_ivector_destroy(sentence));
    CHECK(paddle_arguments_destroy(in_args));
    return std::pair<float, float>(array[0], array[1]);
};