Hello I have a code which implements libeigen2 to calculate eigen vectors. Now I want to use boost::serialization to save the information for retrieving later. From the example tutorial I came up with the following code!
class RandomNode {
private:
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version)
{
ar & is_leaf_;
ar & depth_;
ar & num_classes_;
ar & num_features_;
// Split node members
ar & random_feature_indices_;
ar & random_feature_weights_;
ar & threshold_;
ar & leftChild_;
ar & rightChild_;
}
bool is_leaf_;
int depth_;
int num_classes_;
int num_features_;
// Split node members
VectorXi random_feature_indices_;
VectorXd random_feature_weights_;
double threshold_;
RandomNode* leftChild_;
RandomNode* rightChild_;
// Methods and so on
}
Now when i tries to run this code I get the following error
/usr/include/boost/serialization/access.hpp:118:9: error: ‘class Eigen::Matrix<double, 10000, 1>’ has no member named ‘serialize’
How can I serialize the Eigen::Matrix class ? Is it possible ? Thanks in advance.
You should read the boost::serialization documentation on the subject of serializable concept. It basically says that the types needs to be primitive or Serializable. The Eigen type is none of it, which your compiler is trying to tell you. In order to make Eigen types serializable you will need to implement the following free function
template<class Archive>
inline void serialize(
Archive & ar,
my_class & t,
const unsigned int file_version
) {
...
}
In order to do it for Eigen, I guess you might do something like this template
Here is an example implementation that should work for you:
#include <fstream>
#include <Eigen/Core>
#include <boost/archive/text_oarchive.hpp>
using namespace Eigen;
struct RandomNode {
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive & ar, const unsigned int version)
{
ar & random_feature_indices_;
ar & random_feature_weights_;
}
// Split node members
VectorXi random_feature_indices_;
VectorXd random_feature_weights_;
};
namespace boost
{
template<class Archive, typename _Scalar, int _Rows, int _Cols, int _Options, int _MaxRows, int _MaxCols>
inline void serialize(
Archive & ar,
Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> & t,
const unsigned int file_version
)
{
size_t rows = t.rows(), cols = t.cols();
ar & rows;
ar & cols;
if( rows * cols != t.size() )
t.resize( rows, cols );
for(size_t i=0; i<t.size(); i++)
ar & t.data()[i];
}
}
int main()
{
// create and open a character archive for output
std::ofstream ofs("filename");
RandomNode r;
r.random_feature_indices_.resize(3,1);
// save data to archive
{
boost::archive::text_oarchive oa(ofs);
// write class instance to archive
oa << r;
// archive and stream closed when destructors are called
}
}
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