| template<class T> class SGVector : public SGReferencedData | |
| { | |
| // If have ViennaCL: declare a pointer to GPU memory | |
| // So only one GPU object is created for one SGVector | |
| #ifdef HAVE_VIENNACL | |
| typedef viennacl::backend::mem_handle VCLMemoryArray; | |
| public: | |
| shared_pointer<VCLMemoryArray> GPUptr(nullptr); | |
| bool on_GPU(): |
| #include <cereal/types/unordered_map.hpp> | |
| #include <cereal/types/memory.hpp> | |
| #include <cereal/archives/json.hpp> | |
| #include <fstream> | |
| struct MyRecord | |
| { | |
| uint8_t x = 10, y = 100; | |
| float z = 3.2; | |
Replace current Shogun serialization method with Cereal libarary
Cereal library is a header only library so no build or make is required. However, Shogun needs to make sure Cereal library is ready for use.
Thus, CMakeList needs to check and download Cereal if necessary:
IF (Cereal)
| namespace linalg | |
| { | |
| // Always return CPU T type | |
| template<class T> | |
| T dot(SGVector<T> a, SGVector<T> b) | |
| { | |
| Base<T> base_a = factory(a); // Factory: use ifdef to check if GPUbackend exists and GPU is turned on | |
| Base<T> base_b = factory(b); | |
| return base_a.dot(base_b) | |
| } |
| #include <shogun/lib/config.h> | |
| #include <shogun/lib/SGVector.h> | |
| #include <memory> | |
| #include <shogun/mathematics/eigen3.h> | |
| class linalg_new | |
| { | |
| shared_ptr<CPUBackend> cpu_backend; | |
| shared_ptr<GPUBackend> gpu_backend; |
| # Cereal Serialization Library | |
| FIND_PACKAGE(Cereal) | |
| IF(NOT CEREAL_FOUND) | |
| include(external/Cereal) | |
| LIST(APPEND INCLUDES ${CEREAL_INCLUDE_DIR}) | |
| ELSE() | |
| LIST(APPEND INCLUDES ${CEREAL_INCLUDE_DIR}) | |
| ENDIF() |
| CSVFile f_feats_train("../../data/classifier_4class_2d_linear_features_train.dat") | |
| CSVFile f_feats_test("../../data/classifier_4class_2d_linear_features_test.dat") | |
| CSVFile f_labels_train("../../data/classifier_4class_2d_linear_labels_train.dat") | |
| CSVFile f_labels_test("../../data/classifier_4class_2d_linear_labels_test.dat") | |
| #![create_features] | |
| RealFeatures features_train(f_feats_train) | |
| RealFeatures features_test(f_feats_test) | |
| MulticlassLabels labels_train(f_labels_train) | |
| MulticlassLabels labels_test(f_labels_test) |
| CSVFile f_feats_train("../../data/classifier_4class_2d_linear_features_train.dat") | |
| CSVFile f_feats_test("../../data/classifier_4class_2d_linear_features_test.dat") | |
| CSVFile f_labels_train("../../data/classifier_4class_2d_linear_labels_train.dat") | |
| CSVFile f_labels_test("../../data/classifier_4class_2d_linear_labels_test.dat") | |
| #![create_features] | |
| RealFeatures features_train(f_feats_train) | |
| RealFeatures features_test(f_feats_test) | |
| MulticlassLabels labels_train(f_labels_train) | |
| MulticlassLabels labels_test(f_labels_test) |
| #include <shogun/lib/config.h> | |
| #include <shogun/mathematics/linalg/linalgRefactor.h> | |
| #include <shogun/lib/SGVector.h> | |
| #include <shogun/mathematics/eigen3.h> | |
| #include <iostream> | |
| #include <memory> | |
| template <class T> CPU_Vector<T>::CPU_Vector(const SGVector<T> &vector) | |
| { | |
| CPUptr = const_cast<SGVector<T>*>(&vector); |
| /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/../include/c++/v1/memory:2457:27: error: | |
| implicit instantiation of undefined member 'GPU_Vector<int>::GPUArray' | |
| static_assert(sizeof(_Tp) > 0, "default_delete can not delete incomplete type"); | |
| ^ | |
| /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/../include/c++/v1/memory:2658:13: note: | |
| in instantiation of member function 'std::__1::default_delete<GPU_Vector<int>::GPUArray>::operator()' requested | |
| here | |
| __ptr_.second()(__tmp); | |
| ^ | |
| /Applications/Xcode.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin/../include/c++/v1/memory:2626:46: note: |