Python C API PyObject_Repr分段错误(已转储内核）

我正试图在我的C++项目中使用scikit-learn。这是我正在使用的代码：

    #include <Python.h>
    PyObject* loadModule(char* name)//
    {
        PyObject* pName = PyString_FromString(name);
        PyObject* pModule = PyImport_Import(pName);
        Py_DECREF(pName);
        return pModule;
    }
    void displayPyObject(PyObject* object)
    {
    PyObject* objectsRepresentation = PyObject_Repr(object);
    PyErr_Print();
    const char* s = PyString_AsString(objectsRepresentation);
    PyErr_Print();
    std::cout << "[ PYOBJECT ]" << s << std::endl;
    }
    //load functions/ attributes from module
    PyObject* loadComponentFromModule(char* module, char* component) 
    {
       PyObject* pModule = loadModule(module);
       PyObject* pyComponent = PyObject_GetAttrString(pModule, component);
       Py_DECREF(pModule);
       return pyComponent;
    }

   //WRAPPER FOR KMEANS CLUSTERING FROM SCIKIT-LEARN
class KMeans
{
public:
    KMeans(int nClusters)
    {
        PyObject* KmeansClass = loadComponentFromModule("sklearn.cluster", "KMeans");
        PyObject* pName2 = PyInt_FromLong((long) nClusters);
        PyObject* pArgs = PyTuple_New(1);
        PyTuple_SetItem(pArgs, 0, pName2);
        _Kcluster = PyObject_CallObject(KmeansClass, pArgs);
        _closestor = loadComponentFromModule("sklearn.metrics","pairwise_distances_argmin_min");
        Py_DECREF(KmeansClass);
        Py_DECREF(pName2);
        Py_DECREF(pArgs);
    }
    ~KMeans()
    {
        Py_DECREF(_Kcluster);
       Py_DECREF(_closestor);
    }
    void setNumClusters(int nClusters)
    {
        std::cout << "change to number cluster: " << nClusters << "n";
        PyObject* nCluster = PyInt_FromLong((long) nClusters);
        int code = PyObject_SetAttrString(_Kcluster,"n_clusters", nCluster);
        PyErr_Print();
        if (code == -1)
        {
            std::cout << "[Error] KMeans.setNumClusters() Failed!! - Number of clusters didn't change!!n";
        }
        Py_DECREF(nCluster);
    }


    void info()
    {
        displayPyObject(_Kcluster);
    }
private:
    PyObject* _Kcluster;
    //PyObject* _result;
    PyObject* _closestor;
};
PyObject* loadClassifier()
{
    PyObject* loader = loadComponentFromModule("sklearn.externals.joblib", "load");
    PyObject* pName2 = PyString_FromString("lda.pkl");
    PyObject* pArgs = PyTuple_New(1);
    PyTuple_SetItem(pArgs, 0, pName2);
    PyObject* clf = PyObject_CallObject(loader, pArgs);
    Py_DECREF(loader);
    Py_DECREF(pName2);
    Py_DECREF(pArgs);
//    displayPyObject(clf);
    return clf;
}
void produce_error()
{
    std::cout << "============================= LINE 0 =========================================n";
    PyObject* clf = loadClassifier();//"sklearn.externals.joblib", "load");
    std::cout << "============================= LINE 1 =========================================n";
    KMeans cluster(8);
    std::cout << "============================= LINE 2 =========================================n";
    cluster.setNumClusters(5);
    std::cout << "============================= LINE 3 =========================================n";
    cluster.info();
    std::cout << "============================= LINE 4 =========================================n";
}
int main(int argc, char *argv[])
{
    Py_Initialize();
    produce_error();
    Py_Finalize();
    return 0;
}

每次我运行这个程序时，我都会得到错误：

============================= LINE 0 =========================================
============================= LINE 1 =========================================
Segmentation fault (core dumped)

据我所知，在不调用分类器的情况下，我不会得到任何错误，但每当我调用它（loadClassifier（））并创建KMean实例时，错误就会显示出来。有时错误在KMean的构造函数中，我在其中加载模块，在另一个函数中使用相同的代码（不在这里），错误在PyObject_Repr（）中（在displayPyObject（）中）。

以前有人遇到过同样的问题吗？你知道怎么解决吗？提前谢谢。