使用 Rcpp 模块公开带有引用参数的 c++ class 方法时出错

Error exposing c++ class method with reference parameter using Rcpp modules

我的目标是构建数据集 class 和模型 class,并将它们都暴露给 R。模型 class 有一个 train() 方法引用了一个数据集实例,这似乎是我问题的根源。这是这个样子

//glue.cpp

#include <Rcpp.h>

class MyData
{
public:
  MyData() = default;
};

class MyModel
{
public:
  MyModel() = default;
  void train(const MyData& data) { Rcpp::Rcout << "training model... "; };
};

// Expose MyData
RCPP_MODULE(MyData){
  Rcpp::class_<MyData>("MyData")
  .constructor()
  ;
}

// Expose MyModel
RCPP_MODULE(MyModel){
  Rcpp::class_<MyModel>("MyModel")
  .constructor()
  .method("train", &MyModel::train)
  ;
}

(我应该注意到这个文件 glue.cpp 嵌入在一个 R 包中。)当我删除这一行 .method("train", &MyModel::train) 时,我可以通过 [=15= 编译它而不会出错].有了它,我得到了下面令人讨厌的错误

─  installing *source* package ‘SimpleCppModel’ ...
   ** libs
   clang++  -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include" -I/usr/local/include  -std=c++14 -fPIC  -Wall -g -O2  -c RcppExports.cpp -o RcppExports.o
   clang++  -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG  -I"/Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include" -I/usr/local/include  -std=c++14 -fPIC  -Wall -g -O2  -c glue.cpp -o glue.o
   In file included from glue.cpp:3:
   In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp.h:27:
   In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/RcppCommon.h:168:
   In file included from /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/as.h:25:
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/internal/Exporter.h:31:28: error: no matching constructor for initialization of 'MyData'
                       Exporter( SEXP x ) : t(x){}
                                            ^ ~
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/as.h:87:41: note: in instantiation of member function 'Rcpp::traits::Exporter<MyData>::Exporter' requested here
               ::Rcpp::traits::Exporter<T> exporter(x);
                                           ^
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/as.h:152:26: note: in instantiation of function template specialization 'Rcpp::internal::as<MyData>' requested here
           return internal::as<T>(x, typename traits::r_type_traits<T>::r_category());
                            ^
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/InputParameter.h:72:54: note: in instantiation of function template specialization 'Rcpp::as<MyData>' requested here
           ConstReferenceInputParameter(SEXP x_) : obj( as<T>(x_) ){}
                                                        ^
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/module/Module_generated_CppMethod.h:129:58: note: in instantiation of member function 'Rcpp::ConstReferenceInputParameter<MyData>::ConstReferenceInputParameter' requested here
           typename Rcpp::traits::input_parameter<U0>::type x0(args[0]);
                                                            ^
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/module/Module_generated_CppMethod.h:127:5: note: in instantiation of member function 'Rcpp::CppMethod1<MyModel, void, const MyData &>::operator()' requested here
       CppMethod1( Method m) : method_class(), met(m) {} 
       ^
   /Library/Frameworks/R.framework/Versions/3.5/Resources/library/Rcpp/include/Rcpp/module/Module_generated_method.h:59:27: note: in instantiation of member function 'Rcpp::CppMethod1<MyModel, void, const MyData &>::CppMethod1' requested here
       AddMethod( name_, new CppMethod1<Class,RESULT_TYPE,U0>(fun), valid, docstring);
                             ^
   glue.cpp:30:4: note: in instantiation of function template specialization 'Rcpp::class_<MyModel>::method<void, const MyData &>' requested here
     .method("train", &MyModel::train)
      ^
   glue.cpp:5:7: note: candidate constructor (the implicit copy constructor) not viable: cannot convert argument of incomplete type 'SEXP' (aka 'SEXPREC *') to 'const MyData' for 1st argument
   class MyData
         ^
   glue.cpp:5:7: note: candidate constructor (the implicit move constructor) not viable: cannot convert argument of incomplete type 'SEXP' (aka 'SEXPREC *') to 'MyData' for 1st argument
   glue.cpp:8:3: note: candidate constructor not viable: requires 0 arguments, but 1 was provided
     MyData() = default;
     ^
   1 error generated.
   make: *** [glue.o] Error 1
   ERROR: compilation failed for package ‘SimpleCppModel’
─  removing ‘/private/var/folders/dn/9lp6j6j14t1137ftnnk27wyw0000gn/T/RtmpBqDLoF/devtools_install_4d775ed17ea2/SimpleCppModel’
Error in processx::run(bin, args = real_cmdargs, stdout_line_callback = real_callback(stdout),  : 
  System command error

什么给了?

正如德克在评论中提到的,您将需要 as<>wrap 专业化 MyData。对于您的情况,您可以使用 "Extending Rcpp" 小插图中最简单的解决方案:RCPP_EXPOSED_CLASS你在包含 Rcpp 中的头文件时要小心:

#include <Rcpp.h>

class MyData
{
public:
  MyData() = default;
};
RCPP_EXPOSED_CLASS(MyData)

class MyModel
{
public:
  MyModel() = default;
  void train(const MyData& data) { Rcpp::Rcout << "training model... " << std::endl; };
};

// Expose MyData
RCPP_MODULE(MyData){
  Rcpp::class_<MyData>("MyData")
  .constructor()
  ;
}

// Expose MyModel
RCPP_MODULE(MyModel){
  Rcpp::class_<MyModel>("MyModel")
  .constructor()
  .method("train", &MyModel::train)
  ;
}

/***R
myData <- new(MyData)
myModel <- new(MyModel)
myModel$train(myData) 
 */

正如您在回答中发现的那样,这甚至在 之后起作用,包括 Rcpp.h。 不过,浏览上述画廊文章和小插图仍然有意义。

首先我要声明我问题中的例子过于简单。实际上,MyData class 有一个类似于 void fill(const Rcpp::NumericMatrix& dat) { Rcpp::Rcout << "filling data... " << std::endl; }; 的方法,它依赖于 Rcpp::NumericMatrix,所以我 在声明之前必须 #include <Rcpp.h>我的数据。

这是我找到的两个解决方案,但我没有充分使用它们,不知道是否有"gotchas"。

解决方案 1 - RCPP_EXPOSED_CLASS() 宏

这里我使用RCPP_EXPOSED_CLASS()宏作为described by Romain Francois。 (感谢 Ralf,向我指出了这个要点。)

#include <Rcpp.h>

class MyData;
class MyModel;

RCPP_EXPOSED_CLASS(MyData)
RCPP_EXPOSED_CLASS(MyModel)

class MyData
{
public:
  MyData() = default;
  void fill(const Rcpp::NumericMatrix& dat) { Rcpp::Rcout << "filling data... " << std::endl; };
};

  class MyModel
  {
  public:
    MyModel() = default;
    void train(const MyData& data) { Rcpp::Rcout << "training model... " << std::endl; };
  };


// Expose MyData
RCPP_MODULE(MyData){
  Rcpp::class_<MyData>("MyData")
  .constructor()
  .method("fill", &MyData::fill)
  ;
}

// Expose MyModel
RCPP_MODULE(MyModel){
  Rcpp::class_<MyModel>("MyModel")
  .constructor()
  .method("train", &MyModel::train)
  ;
}

/***R
myData <- new(MyData)
myModel <- new(MyModel)
myModel$train(myData)
*/

解决方案 2 - 使用 Rcpp::XPtr

此解决方案基于 。基本上,我只是创建一个指向 C++ 对象的指针并使用包装函数来处理它。这是一个可能看起来如何的示例。

#include <Rcpp.h>

class MyData
{
public:
  MyData() = default;
  void fill(const Rcpp::NumericMatrix& dat) { Rcpp::Rcout << "filling data... " << std::endl; };
};

class MyModel
{
public:
  MyModel() = default;
  void train(const MyData& data) { Rcpp::Rcout << "training model... " << std::endl; };
};

// [[Rcpp::export]]
SEXP make_dataset() {
  MyData* datPtr = new MyData();
  Rcpp::XPtr<MyData> datXPtr(datPtr);
  return datXPtr;
}

// [[Rcpp::export]]
SEXP make_model() {
  MyModel* mdlPtr = new MyModel();
  Rcpp::XPtr<MyModel> mdlXPtr(mdlPtr);
  return mdlXPtr;
}

// [[Rcpp::export]]
void train_model(SEXP mdlXPtr, SEXP datXPtr) {
  Rcpp::XPtr<MyModel> mdlPtr(mdlXPtr);
  Rcpp::XPtr<MyData> datPtr(datXPtr);
  mdlPtr->train(*datPtr);
}

/***R
myData <- make_dataset()
myModel <- make_model()
train_model(myModel, myData)
*/

此方法的缺点是,AFAIK,没有明显的方法来检查 XPtr 指向的对象类型。例如,如何使 train_model(myData, myModel).

之类的错误调用无效对我来说并不明显