尝试从源运行MLPack时出错

Question

OS:Linux

编译:NDK-构建

当我试图从源代码编译mlPack时，我遇到了错误。当我通过安装mlPack及其依赖项(armadillo、ensmallen、boost)来运行时，代码工作得很好。但是，我正在尝试创建一个*.so和*.a文件，其中包含以下文件(mlpack_test.cpp、mlpack_test.hpp)和mlPack库。这个错误是在尝试的时候发生的。

mlPack_test.hpp

#include <iostream>
#include <string>
#include "mlpack/core.hpp"
#include "mlpack/methods/random_forest/random_forest.hpp"
#include "mlpack/methods/decision_tree/random_dimension_select.hpp"
#include "mlpack/core/cv/k_fold_cv.hpp"
#include "mlpack/core/cv/metrics/accuracy.hpp"
#include "mlpack/core/cv/metrics/precision.hpp" 
#include "mlpack/core/cv/metrics/recall.hpp"

using namespace arma;
using namespace mlpack;
using namespace mlpack::tree;
using namespace mlpack::cv;

using namespace std;

void Test();

mlPack_test.cpp

#include "mlpack_test.hpp"

void Test()
{
    string save_model_path = "model.bin";

    string sample = "1265,0,0,0,1,0,0,0,0,1,0,0,1,0,0,1,1,0,0";
    mat dataset(sample);
    Row<size_t> labels;
    labels = conv_to<Row<size_t>>::from(dataset.row(dataset.n_rows - 1));
    dataset.shed_row(dataset.n_rows - 1);

    const size_t numClasses = 5;
    const size_t minimumLeafSize = 5;
    const size_t numTrees = 50;

    RandomForest<GiniGain, RandomDimensionSelect> rf;
    rf = RandomForest<GiniGain, RandomDimensionSelect>(dataset, labels,
        numClasses, numTrees, minimumLeafSize);

    Row<size_t> predictions;
    rf.Classify(dataset, predictions);
    const size_t correct = arma::accu(predictions == labels);
    cout << "\nTraining Accuracy: " << (double(correct) / double(labels.n_elem))<<endl;
    mlpack::data::Save(save_model_path, "model", rf, false);

}

误差

每当我尝试使用*.so或*.a文件创建ndk-build时，都会发生以下错误：

​

​

Android.mk文件如下：

LOCAL_PATH := $(call my-dir)
include $(CLEAR_VARS)
LOCAL_MODULE := hello-jni-prebuilt
CODE_PATH := .
LOCAL_C_INCLUDES := $(LOCAL_PATH)
LOCAL_SRC_FILES := mlpack_test.cpp
include $(BUILD_SHARED_LIBRARY)

包括库文件夹在内的所有文件都在LOCAL_PATH中：

​

Answer 1

使用-frtti和-exception CPP标志在Android.mk文件中解决了这个问题。