如何序列化arma::Col
?以下是MWE和错误输出。
MWE:
#include <boost/mpi/environment.hpp>
#include <boost/mpi/communicator.hpp>
#include <iostream>
#include "armadillo"
namespace mpi = boost::mpi;
struct S
{
int i;
arma::Col<double>::fixed<3> cvector;
friend class boost::serialization::access;
template<class Archive>
void serialize(Archive& ar, const unsigned int version)
{
ar& i;
ar& cvector;
}
};
int main()
{
mpi::environment env;
mpi::communicator world;
S s;
if (world.rank() == 0)
{
s.cvector[0] = 2;
s.cvector[1] = 2;
world.send(1, 0, s);
}
else
{
world.recv(0, 0, s);
std::cout << s.cvector[0] << std::endl;
std::cout << s.cvector[1] << std::endl;
}
return 0;
}
错误输出(跳过“需要”内容):
error: ‘class arma::Col<double>::fixed<3ull>’ has no member named ‘serialize’; did you mean ‘set_size’? t.serialize(ar, file_version);
编辑: This帖子似乎与我的问题有关,很遗憾,它没有得到答复。
最佳答案
问题的真正症结在于,您想向各种Armadillo对象添加serialize()
成员函数,但这似乎是不可能的……只是由于在Armadillo中巧妙地使用了预处理器, !
看一看Mat_bones.hpp
和Col_bones.hpp
...,您会在Mat
和Col
的类定义内看到类似的内容:
public:
#ifdef ARMA_EXTRA_COL_PROTO
#include ARMA_INCFILE_WRAP(ARMA_EXTRA_COL_PROTO)
#endif
当我发现它时,这让我感到非常高兴,因为现在我可以做一些事情,例如定义一个名为
Mat_extra_bones.hpp
的文件://! Add a serialization operator.
template<typename Archive>
void serialize(Archive& ar, const unsigned int version);
然后
Mat_extra_meat.hpp
:// Add a serialization operator.
template<typename eT>
template<typename Archive>
void Mat<eT>::serialize(Archive& ar, const unsigned int /* version */)
{
using boost::serialization::make_nvp;
using boost::serialization::make_array;
const uword old_n_elem = n_elem;
// This is accurate from Armadillo 3.6.0 onwards.
// We can't use BOOST_SERIALIZATION_NVP() because of the access::rw() call.
ar & make_nvp("n_rows", access::rw(n_rows));
ar & make_nvp("n_cols", access::rw(n_cols));
ar & make_nvp("n_elem", access::rw(n_elem));
ar & make_nvp("vec_state", access::rw(vec_state));
// mem_state will always be 0 on load, so we don't need to save it.
if (Archive::is_loading::value)
{
// Don't free if local memory is being used.
if (mem_state == 0 && mem != NULL && old_n_elem > arma_config::mat_prealloc)
{
memory::release(access::rw(mem));
}
access::rw(mem_state) = 0;
// We also need to allocate the memory we're using.
init_cold();
}
ar & make_array(access::rwp(mem), n_elem);
}
然后,在您的程序中,您所需要做的就是
#define ARMA_EXTRA_MAT_PROTO mat_extra_bones.hpp
#define ARMA_EXTRA_MAT_MEAT mat_extra_meat.hpp
并且
serialize()
函数将成为Mat
类的成员。您可以轻松地将此解决方案改编为其他 Armadillo 类型。实际上,这正是mlpack库(http://www.mlpack.org/)的工作,因此,如果您有兴趣,可以仔细看看我在此处实现的确切解决方案:
https://github.com/mlpack/mlpack/tree/master/src/mlpack/core/arma_extend
关于c++ - 如何序列化 Armadillo 的载体,我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/39890640/