C:\OTB\build>nmake install

Microsoft (R) Program Maintenance Utility Version 14.29.30153.0
Copyright (C) Microsoft Corporation. Tous droits réservés.

[ 34%] Built target otb6S
[ 34%] Built target OTB6S-all
[ 34%] Built target OTBBoost-all
[ 34%] Built target OTBBoostAdapters-all
[ 34%] Built target OTBGDAL-all
[ 34%] Built target OTBITK-all
[ 36%] Built target OTBCommon
[ 36%] Built target OTBCommon-all
[ 36%] Built target OTBDate-all
[ 37%] Built target OTBGdalAdapters
[ 37%] Built target OTBGdalAdapters-all
[ 37%] Built target OTBObjectList-all
[ 37%] Built target OTBTinyXML-all
[ 42%] Built target OTBMetadata
[ 42%] Built target OTBMetadata-all
[ 43%] Built target OTBImageBase
[ 43%] Built target OTBImageBase-all
[ 43%] Built target OTBFunctor-all
[ 43%] Built target OTBAnomalyDetection-all
[ 44%] Built target OTBVectorDataBase
[ 44%] Built target OTBVectorDataBase-all
[ 45%] Built target OTBIOGDAL
[ 45%] Built target OTBIOGDAL-all
[ 45%] Built target OTBExtendedFilename
[ 45%] Built target OTBExtendedFilename-all
[ 46%] Built target OTBIOBSQ
[ 46%] Built target OTBIOBSQ-all
[ 46%] Built target OTBIOLUM
[ 46%] Built target OTBIOLUM-all
[ 46%] Built target OTBIOMSTAR
[ 46%] Built target OTBIOMSTAR-all
[ 47%] Built target OTBIOONERA
[ 47%] Built target OTBIOONERA-all
[ 47%] Built target OTBIORAD
[ 47%] Built target OTBIORAD-all
[ 47%] Built target OTBImageList-all
[ 47%] Built target OTBStreaming
[ 47%] Built target OTBStreaming-all
[ 47%] Built target OTBImageIO
[ 47%] Built target OTBImageIO-all
[ 47%] Built target OTBInterpolation-all
[ 47%] Built target OTBTransform
[ 47%] Built target OTBTransform-all
[ 48%] Built target OTBImageManipulation
[ 48%] Built target OTBImageManipulation-all
[ 48%] Built target OTBPath-all
[ 48%] Built target OTBVectorDataManipulation-all
[ 48%] Built target OTBProjection
[ 48%] Built target OTBProjection-all
[ 48%] Built target OTBVectorDataIO
[ 48%] Built target OTBVectorDataIO-all
[ 52%] Built target OTBApplicationEngine
[ 52%] Built target OTBApplicationEngine-all
[ 52%] Built target OTBMoments-all
[ 52%] Built target OTBLabelMap-all
[ 52%] Built target OTBConversion-all
[ 52%] Built target OTBMosaic-all
[ 53%] Built target OTBStatistics
[ 53%] Built target OTBStatistics-all
[ 53%] Built target OTBChangeDetection-all
[ 53%] Built target otbapp_MultivariateAlterationDetector
[ 53%] Built target OTBAppChangeDetection-all
[ 53%] Built target OTBColorMap-all
[ 54%] Built target OTBFuzzy
[ 54%] Built target OTBFuzzy-all
[ 54%] Built target OTBMuParser-all
[ 54%] Built target OTBMathParser
[ 54%] Built target OTBMathParser-all
[ 54%] Built target OTBShark-all
[ 54%] Built target OTBLearningBase
[ 54%] Built target OTBLearningBase-all
[ 54%] Built target OTBUnsupervised-all
[ 54%] Built target OTBLibSVM-all
[ 54%] Built target OTBOpenCV-all
[ 54%] Built target OTBSupervised
[ 54%] Built target OTBSupervised-all
[ 54%] Built target OTBDempsterShafer-all
[ 54%] Built target OTBIOXML-all
[ 54%] Built target OTBIndices-all
[ 54%] Built target OTBMajorityVoting-all
[ 54%] Built target OTBSOM-all
[ 55%] Built target OTBSampling
[ 55%] Built target OTBSampling-all
[ 55%] Built target OTBCurlAdapters
[ 56%] Built target OTBCarto
[ 56%] Built target otbapp_ImageEnvelope
[ 56%] Built target otbapp_ImageRegression
[ 56%] Built target otbapp_SOMClassification
[ 56%] Built target otbapp_TrainVectorClassifier
[ 56%] Built target otbapp_ComputeConfusionMatrix
[ 56%] Built target otbapp_TrainImagesClassifier
[ 56%] Built target otbapp_TrainVectorRegression
[ 56%] Built target otbapp_SampleExtraction
[ 57%] Built target otbapp_ImageClassifier
[ 57%] Built target otbapp_SampleSelection
[ 57%] Built target otbapp_ComputeOGRLayersFeaturesStatistics
[ 58%] Built target otbapp_KMeansClassification
[ 58%] Built target otbapp_TrainRegression
[ 58%] Built target otbapp_FusionOfClassifications
[ 59%] Built target otbapp_VectorClassifier
[ 59%] Built target otbapp_VectorRegression
[ 60%] Built target otbapp_TrainImagesRegression
[ 60%] Built target otbapp_PolygonClassStatistics
[ 61%] Built target otbapp_ComputeImagesStatistics
[ 61%] Built target otbapp_OGRLayerClassifier
[ 61%] Built target otbapp_ClassificationMapRegularization
[ 61%] Built target otbapp_ZonalStatistics
[ 61%] Built target otbapp_SampleAugmentation
[ 62%] Built target otbapp_MultiImageSamplingRate
[ 62%] Built target OTBAppClassification-all
[ 62%] Built target OTBPointSet-all
[ 63%] Built target otbsiftfast
[ 63%] Built target OTBSiftFast-all
[ 63%] Built target OTBDescriptors-all
[ 63%] Built target otbapp_HomologousPointsExtraction
[ 63%] Built target OTBAppDescriptors-all
[ 63%] Built target OTBDimensionalityReduction-all
[ 63%] Built target OTBDimensionalityReductionLearning-all
[ 64%] Building CXX object Modules/Applications/AppDimensionalityReduction/app/CMakeFiles/otbapp_VectorDimensionalityReduction.dir/otbVectorDimensionalityReduction.cxx.obj
otbVectorDimensionalityReduction.cxx
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\include\type_traits(1003): error C2338: You've instantiated std::aligned_storage<Len, Align> with an extended alignment (in other words, Align > alignof(max_align_t)). Before VS 2017 15.8, the member "type" would non-conformingly have an alignment of only alignof(max_align_t). VS 2017 15.8 was fixed to handle this correctly, but the fix inherently changes layout and breaks binary compatibility (*only* for uses of aligned_storage with extended alignments). Please define either (1) _ENABLE_EXTENDED_ALIGNED_STORAGE to acknowledge that you understand this message and that you actually want a type with an extended alignment, or (2) _DISABLE_EXTENDED_ALIGNED_STORAGE to silence this message and get the old non-conforming behavior.
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\include\type_traits(1023): note: voir la référence à l'instanciation classe modèle 'std::_Aligned<192,64,std::_Aligned<192,64,std::_Aligned<192,64,std::_Aligned<192,64,std::aligned_storage<192,64>::_Next,false>::_Next,false>::_Next,false>::_Next,false>' en cours de compilation
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\include\type_traits(1030): note: voir la référence à l'instanciation classe modèle 'std::_Aligned<192,64,std::_Aligned<192,64,std::_Aligned<192,64,std::aligned_storage<192,64>::_Next,false>::_Next,false>::_Next,false>' en cours de compilation
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\include\type_traits(1037): note: voir la référence à l'instanciation classe modèle 'std::_Aligned<192,64,std::_Aligned<192,64,std::aligned_storage<192,64>::_Next,false>::_Next,false>' en cours de compilation
C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\include\type_traits(1044): note: voir la référence à l'instanciation classe modèle 'std::_Aligned<192,64,std::aligned_storage<192,64>::_Next,false>' en cours de compilation
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\kernels\default\mgemm.hpp(64): note: voir la référence à l'instanciation classe modèle 'std::aligned_storage<192,64>' en cours de compilation
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\kernels\default\mgemm.hpp(125): note: voir la référence à l'instanciation de la fonction modèle 'void remora::bindings::ugemm<block_size,T,TC>(size_t,TC,const T *,const T *,TC *,size_t,size_t)' en cours de compilation
        with
        [
            block_size=block_size,
            T=value_type,
            TC=double
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\kernels\default/dense_gemm.hpp(134): note: voir la référence à l'instanciation de la fonction modèle 'void remora::bindings::mgemm<value_type,double,block_size>(size_t,size_t,size_t,TC,const T *,const T *,TC *,size_t,size_t,block_size)' en cours de compilation
        with
        [
            TC=double,
            T=value_type,
            block_size=block_size
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../kernels/gemm.hpp(56): note: voir la référence à l'instanciation de la fonction modèle 'void remora::bindings::dense_gemm<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>>(const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../kernels/gemm.hpp(105): note: voir la référence à l'instanciation de la fonction modèle 'void remora::bindings::gemm<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,E1Orientation,E2Orientation>(const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double,remora::row_major,Orientation1,Orientation2,remora::dense_tag,remora::dense_tag)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major,
            Orientation1=E1Orientation,
            Orientation2=E2Orientation
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\matrix_expression_classes.hpp(886): note: voir la référence à l'instanciation de la fonction modèle 'void remora::kernels::gemm<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>>(const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,const remora::matrix_expression<remora::dense_matrix_adaptor<const T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\matrix_expression_classes.hpp(882): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::plus_assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,Category>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double,remora::linear_structure,Category) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major,
            Category=remora::continuous_dense_tag
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\matrix_expression_classes.hpp(882): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::plus_assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,Category>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double,remora::linear_structure,Category) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major,
            Category=remora::continuous_dense_tag
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\matrix_expression_classes.hpp(870): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::continuous_dense_tag>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double,remora::linear_structure,Category) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major,
            Category=remora::continuous_dense_tag
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\matrix_expression_classes.hpp(870): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::continuous_dense_tag>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double,remora::linear_structure,Category) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major,
            Category=remora::continuous_dense_tag
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../assignment.hpp(230): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../assignment.hpp(230): note: voir la référence à l'instanciation de la fonction modèle 'void remora::matrix_matrix_prod<M1,M2>::assign_to<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,double) const' en cours de compilation
        with
        [
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            T=double,
            L=remora::row_major
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../assignment.hpp(257): note: voir la référence à l'instanciation de la fonction modèle 'void remora::detail::assign<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::matrix_matrix_prod<M1,M2>,remora::cpu_tag>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,const remora::matrix_expression<remora::matrix_matrix_prod<M1,M2>,remora::cpu_tag> &,remora::blockwise_tag,double)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major,
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark\LinAlg\BLAS\detail\../assignment.hpp(629): note: voir la référence à l'instanciation de la fonction modèle 'MatA &remora::assign<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::matrix_matrix_prod<M1,M2>,remora::cpu_tag>(remora::matrix_expression<remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag>,remora::cpu_tag> &,const remora::matrix_expression<remora::matrix_matrix_prod<M1,M2>,remora::cpu_tag> &,double)' en cours de compilation
        with
        [
            MatA=remora::dense_matrix_adaptor<double,remora::row_major,remora::continuous_dense_tag,remora::cpu_tag>,
            T=double,
            L=remora::row_major,
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark/Models/LinearModel.h(288): note: voir la référence à l'instanciation de la fonction modèle 'remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag> &remora::noalias_proxy<C>::operator =<remora::matrix_matrix_prod<M1,M2>>(const E &)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major,
            C=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            E=remora::matrix_matrix_prod<remora::matrix<double,remora::row_major,remora::cpu_tag>,remora::matrix<double,remora::row_major,remora::cpu_tag>>
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark/Models/LinearModel.h(288): note: voir la référence à l'instanciation de la fonction modèle 'remora::dense_matrix_adaptor<T,L,remora::continuous_dense_tag,remora::cpu_tag> &remora::noalias_proxy<C>::operator =<remora::matrix_matrix_prod<M1,M2>>(const E &)' en cours de compilation
        with
        [
            T=double,
            L=remora::row_major,
            C=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M1=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            M2=remora::matrix<double,remora::row_major,remora::cpu_tag>,
            E=remora::matrix_matrix_prod<remora::matrix<double,remora::row_major,remora::cpu_tag>,remora::matrix<double,remora::row_major,remora::cpu_tag>>
        ]
C:\OTB\OTB-8.1.2-Win64\include\shark\shark/Models/LinearModel.h(275): note: pendant la compilation de la fonction membre classe modèle 'void shark::LinearModel<shark::RealVector,shark::LinearNeuron>::weightedDerivatives(const remora::matrix<double,remora::row_major,remora::cpu_tag> &,const remora::matrix<double,remora::row_major,remora::cpu_tag> &,const remora::matrix<double,remora::row_major,remora::cpu_tag> &,const shark::State &,remora::vector<double,remora::cpu_tag> &,remora::matrix<double,remora::row_major,remora::cpu_tag> &) const'
C:\OTB\otb\Modules\Learning\DimensionalityReductionLearning\include\otbAutoencoderModel.h(175): note: voir la référence à l'instanciation classe modèle 'shark::LinearModel<shark::RealVector,shark::LinearNeuron>' en cours de compilation
C:\OTB\otb\Modules\Learning\DimensionalityReductionLearning\include\otbAutoencoderModel.h(190): note: voir la référence à l'instanciation classe modèle 'otb::AutoencoderModel<TInputValue,NeuronType>' en cours de compilation
NMAKE : fatal error U1077: '"C:\Program Files\CMake\bin\cmake.exe"' : code retour '0x2'
Stop.
NMAKE : fatal error U1077: '"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX64\x64\nmake.exe"' : code retour '0x2'
Stop.
NMAKE : fatal error U1077: '"C:\Program Files (x86)\Microsoft Visual Studio\2019\Community\VC\Tools\MSVC\14.29.30133\bin\HostX64\x64\nmake.exe"' : code retour '0x2'
Stop.